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AntTech
AntTech
Sep 21, 2023 · Artificial Intelligence

AFAC2023 Financial Intelligence Challenge Highlights and the Release of the Fin‑Eval Dataset

The inaugural AFAC2023 Financial Intelligence Challenge, co‑organized by the China Computer Federation and Ant Group, attracted over 4,700 teams, showcased cutting‑edge AI solutions for finance such as market opinion generation, compliance detection, and pet‑age recognition, and culminated in the public launch of the Fin‑Eval benchmark dataset for financial large‑model evaluation.

AIFin-EvalFinance
0 likes · 12 min read
AFAC2023 Financial Intelligence Challenge Highlights and the Release of the Fin‑Eval Dataset
HomeTech
HomeTech
Sep 21, 2023 · Artificial Intelligence

Homepage Pop‑up Recommendation System for Car Purchase Intent: Background, Feature Engineering, Model and Strategy Optimization, and Results

This article details how AutoHome's homepage pop‑up leverages precise targeting, extensive feature engineering, and multi‑stage DeepFM‑based models with attention and LHUC modules to accurately identify car‑buying users, improve vehicle‑series recommendations, and achieve a 355% conversion rate increase.

AIDeep LearningFeature Engineering
0 likes · 7 min read
Homepage Pop‑up Recommendation System for Car Purchase Intent: Background, Feature Engineering, Model and Strategy Optimization, and Results
DataFunTalk
DataFunTalk
Sep 21, 2023 · Artificial Intelligence

2023 Chinese Continuous Visual Speech Recognition Challenge (CNVSRC) Overview

The 2023 Chinese Continuous Visual Speech Recognition Challenge (CNVSRC), organized by Tsinghua University and partners, introduces the large-scale CN-CVS dataset, defines single- and multi-speaker lip‑reading tasks, provides baseline Conformer models, outlines registration, data access, evaluation metrics, and competition schedule.

AIConformerchallenge
0 likes · 7 min read
2023 Chinese Continuous Visual Speech Recognition Challenge (CNVSRC) Overview
php Courses
php Courses
Sep 21, 2023 · Artificial Intelligence

Five Free AI Coding Tools to Boost Developer Productivity

This article introduces five free artificial‑intelligence coding assistants, explains how they accelerate and secure software development, and addresses common concerns about AI’s impact on programmers and job security.

AIcoding assistantsdeveloper productivity
0 likes · 6 min read
Five Free AI Coding Tools to Boost Developer Productivity
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 21, 2023 · Artificial Intelligence

How Vector Search Powers AI: From Embeddings to Real‑World Applications

This article explains how vector search converts unstructured data such as speech, images, video, and text into high‑dimensional embeddings, explores common algorithms like Brute‑Force, ANN, and HNSW, and presents optimization techniques that dramatically improve recall and query‑per‑second performance for large‑scale AI retrieval systems.

AIANNEmbedding
0 likes · 27 min read
How Vector Search Powers AI: From Embeddings to Real‑World Applications
Volcano Engine Developer Services
Volcano Engine Developer Services
Sep 19, 2023 · Databases

Unlocking AI with Vector Databases: Architecture, Optimization, and Real-World Cases

This article explores how vector databases serve as the memory layer for large AI models, detailing their distributed, compute‑separated architecture, performance optimizations, hybrid vector‑scalar retrieval, and practical deployments across TikTok’s ecosystem such as image search, intelligent Q&A, and multimodal AI services.

AIKnowledge BaseVector Database
0 likes · 11 min read
Unlocking AI with Vector Databases: Architecture, Optimization, and Real-World Cases
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Sep 19, 2023 · Cloud Computing

AI‑Era Cloud Infrastructure: High Compute Density, Linear Scalability and Intelligent Operations – Highlights from the 2023 Open Data Center Conference

The 2023 Open Data Center Conference in Beijing showcased Alibaba Cloud's AI‑era infrastructure innovations—including high‑density compute clusters, predictable high‑performance networking, intelligent power‑simulation systems, battery diagnostics, liquid‑cooling solutions, and modular server standards—demonstrating how cloud platforms are being rebuilt to meet the demands of large AI models and sustainable operation.

AIHigh‑Performance NetworkingIntelligent Operations
0 likes · 10 min read
AI‑Era Cloud Infrastructure: High Compute Density, Linear Scalability and Intelligent Operations – Highlights from the 2023 Open Data Center Conference
AntTech
AntTech
Sep 18, 2023 · Artificial Intelligence

Green Computing in the Era of Large Models: Highlights from the 2023 Inclusion·Bund Conference

The 2023 Inclusion·Bund Conference examined the rapid growth of large‑model AI, the resulting GPU shortage, and presented multi‑sector strategies—including policy guidance, ESG standards, AI‑driven optimization, and collaborative standards—to achieve sustainable, energy‑efficient computing across the entire ecosystem.

AIData Centersenergy efficiency
0 likes · 7 min read
Green Computing in the Era of Large Models: Highlights from the 2023 Inclusion·Bund Conference
IT Services Circle
IT Services Circle
Sep 16, 2023 · Artificial Intelligence

Porting Llama2 to Mojo: Massive Performance Boosts and Insights

Former Meta engineer Aydyn Tairov quickly ported the Python implementation of Llama2 to the newly released Mojo language, demonstrating that Mojo’s SIMD primitives can accelerate Python code by up to 250 times and even make the Python version run 20% faster than the original C implementation.

AIC++Llama2
0 likes · 2 min read
Porting Llama2 to Mojo: Massive Performance Boosts and Insights
Ximalaya Technology Team
Ximalaya Technology Team
Sep 15, 2023 · Operations

Platform Engineering Overview, Practices, and Roadmap

Platform engineering builds self‑service, reusable platforms that standardize and automate the software delivery lifecycle, reducing cost and cognitive load, as illustrated by Backstage and adidas, while the YiTian IDP roadmap adds a unified service catalog, documentation, API, search, community tools, and AI‑driven assistants to boost developer productivity and ROI.

AIDevOpsIDP
0 likes · 17 min read
Platform Engineering Overview, Practices, and Roadmap
Meituan Technology Team
Meituan Technology Team
Sep 14, 2023 · Artificial Intelligence

AdaScene: Adaptive Scenario Modeling for Multi‑Scene Recommendation in Meituan DSP

AdaScene introduces an adaptive scenario modeling framework for Meituan’s DSP that mitigates negative transfer and extreme data sparsity across heterogeneous display scenes by employing a knowledge‑transfer network with scene‑specific feature adaptation and gated expert sharing, alongside a gradient‑based scene‑aggregation process that clusters similar scenarios, yielding consistent performance gains for both high‑traffic and low‑traffic channels.

AIKnowledge Transferadaptive modeling
0 likes · 20 min read
AdaScene: Adaptive Scenario Modeling for Multi‑Scene Recommendation in Meituan DSP
Alipay Experience Technology
Alipay Experience Technology
Sep 14, 2023 · Cloud Computing

What Google I/O Shanghai Reveals About Cloud and Generative AI

The article recaps Google I/O Connect Shanghai, highlighting Google Cloud's leadership, its generative AI strategy with Vertex AI, developer‑focused tools like Duet AI and Gen App Builder, and Web session insights, while offering practical takeaways for developers and entrepreneurs interested in cloud‑based AI services.

AICloud ComputingGenerative AI
0 likes · 9 min read
What Google I/O Shanghai Reveals About Cloud and Generative AI
58UXD
58UXD
Sep 14, 2023 · Artificial Intelligence

How AI Is Redefining Design for the Emerging Virtual World

This article explores how AI, from early image‑generation tools to modern assistants, is reshaping the design industry and enabling new creative opportunities in virtual worlds, while reflecting on Kevin Kelly’s vision of a future Mirror‑world where digital and physical realities converge.

AIVirtual Worldcreative tools
0 likes · 9 min read
How AI Is Redefining Design for the Emerging Virtual World
DataFunSummit
DataFunSummit
Sep 13, 2023 · Artificial Intelligence

Data Engineering, Automated Evaluation, and Knowledge Graph Integration in Large Model Development

This article presents a comprehensive overview of data engineering practices for large model training, reviews current model scales and pre‑training data sources, discusses automated evaluation techniques, and explores how knowledge graphs can be integrated throughout the model lifecycle to improve quality and applicability.

AIData engineeringautomated evaluation
0 likes · 29 min read
Data Engineering, Automated Evaluation, and Knowledge Graph Integration in Large Model Development
Baidu MEUX
Baidu MEUX
Sep 13, 2023 · Artificial Intelligence

How AIGC Is Redefining Design Productivity: Insights and Practices

This speech explores the emergence of AIGC and AGI in design, discussing prompt engineering, affordance, AI‑native design, storytelling, ethical challenges, and future directions for leveraging generative AI to boost creativity and productivity.

AIAIGCstorytelling
0 likes · 13 min read
How AIGC Is Redefining Design Productivity: Insights and Practices
IT Services Circle
IT Services Circle
Sep 13, 2023 · Artificial Intelligence

AI‑Generated Text in Academic Papers: Cases, Retractions, and Policy Guidance

The article examines how AI‑generated phrases such as “Regenerate response” and “As an AI language model, I …” have appeared in peer‑reviewed papers, leading to retractions, discusses the scale of the problem, and outlines publisher policies that allow AI assistance when properly disclosed.

AIChatGPTacademic integrity
0 likes · 5 min read
AI‑Generated Text in Academic Papers: Cases, Retractions, and Policy Guidance
Efficient Ops
Efficient Ops
Sep 12, 2023 · Artificial Intelligence

AI-Powered Text Clustering and RNNs Automate Test Environment Issue Diagnosis

This article describes how a Chinese bank’s software development team leveraged AI techniques—text clustering and recurrent neural networks—to automatically classify and diagnose test-environment problems, dramatically reducing manual effort, improving issue visibility, and enabling self-healing mechanisms for faster, more reliable software delivery.

AIRNNissue classification
0 likes · 5 min read
AI-Powered Text Clustering and RNNs Automate Test Environment Issue Diagnosis
DataFunSummit
DataFunSummit
Sep 12, 2023 · Artificial Intelligence

Xiaohongshu Recommendation Engineering Architecture: Graph‑Based Design and Hot‑Deployment Practices

This article presents Xiaohongshu's evolving recommendation system architecture, detailing the challenges of massive user‑generated content, the adoption of a graph‑based Ark framework for modular and scalable business logic, and the implementation of hot‑deployment techniques to accelerate algorithm iteration and reduce downtime.

AIGraph ComputationScalability
0 likes · 12 min read
Xiaohongshu Recommendation Engineering Architecture: Graph‑Based Design and Hot‑Deployment Practices
DataFunSummit
DataFunSummit
Sep 11, 2023 · Artificial Intelligence

Challenges and Insights for Deploying Large Models on Edge with MNN

The talk presents an overview of the MNN inference engine, outlines the end‑to‑end workflow for deploying large language models on mobile devices, discusses technical challenges and practical solutions, and concludes with future directions for edge AI deployment.

AIInference EngineMNN
0 likes · 2 min read
Challenges and Insights for Deploying Large Models on Edge with MNN
ITPUB
ITPUB
Sep 11, 2023 · Databases

Inside Alibaba Cloud’s Yaochi Database: Market Outlook, AI Fusion, and Open‑Source Strategy

In this interview, Alibaba Cloud’s database product leader Wang Yuan shares his market‑size calculations for China’s database sector, discusses the challenges facing dozens of domestic vendors, outlines Yaochi’s cloud‑native vision, AI‑driven features, PolarDB innovations, and the company’s open‑source approach.

AICloud ComputingPolardb
0 likes · 21 min read
Inside Alibaba Cloud’s Yaochi Database: Market Outlook, AI Fusion, and Open‑Source Strategy
DataFunTalk
DataFunTalk
Sep 11, 2023 · Artificial Intelligence

Career Development and Core Competencies for Algorithm Engineers

This article outlines the definition of an algorithm engineer, debunks common misconceptions, describes the four key career stages, highlights essential personal qualities, discusses how to choose between technical and managerial tracks, and offers practical advice on industry, company selection, and sustainable professional growth.

AIalgorithm engineeringcareer development
0 likes · 13 min read
Career Development and Core Competencies for Algorithm Engineers
Architects Research Society
Architects Research Society
Sep 9, 2023 · Fundamentals

Core Architectural Components for Enterprise Modernization and Digital Transformation

The article presents a comprehensive, step‑by‑step methodology for designing, evaluating, and governing enterprise modernization and digital transformation initiatives, covering vision, strategy, current and future state analysis, requirements, feasibility, trade‑offs, decisions, models, design, specifications, and agile governance.

AICloud ComputingDigital Transformation
0 likes · 15 min read
Core Architectural Components for Enterprise Modernization and Digital Transformation
21CTO
21CTO
Sep 8, 2023 · Artificial Intelligence

Who Are the 100 Most Influential AI Leaders of 2023? Profiles and Insights

Time Magazine's 2023 list of the 100 most influential AI figures spotlights leading scholars, entrepreneurs, and innovators—from Sam Altman and Geoffrey Hinton to Li Yanhong and Ted Chiang—detailing their achievements, impact on AI research, and the broader implications for the future of artificial intelligence.

AIArtificial IntelligenceInfluential Figures
0 likes · 14 min read
Who Are the 100 Most Influential AI Leaders of 2023? Profiles and Insights
AntTech
AntTech
Sep 8, 2023 · Cloud Computing

Green Computing in the Cloud Era: Highlights from the 2023 Inclusion·Bund Conference

The 2023 Inclusion·Bund Conference examined the surge in large‑model demand, GPU scarcity, and the resulting energy challenges, presenting policy initiatives, industry collaborations, and AI‑driven techniques aimed at building an end‑to‑end green computing ecosystem across the cloud and data‑center stack.

AICloud ComputingData Centers
0 likes · 7 min read
Green Computing in the Cloud Era: Highlights from the 2023 Inclusion·Bund Conference
DataFunTalk
DataFunTalk
Sep 8, 2023 · Artificial Intelligence

Knowledge Processing in the Era of Large Models: New Opportunities and New Challenges

This article examines how large language models and knowledge graphs complement each other, discussing their respective strengths, integration techniques such as prompt engineering and knowledge editing, and outlining future research directions for building large knowledge models that combine linguistic understanding with structured knowledge representation.

AIKnowledge Graphsknowledge representation
0 likes · 27 min read
Knowledge Processing in the Era of Large Models: New Opportunities and New Challenges
DataFunTalk
DataFunTalk
Sep 7, 2023 · Artificial Intelligence

Ant Group's Knowledge Graph: Overview, Construction, Applications, and Integration with Large Models

This article presents Ant Group's work on knowledge graphs, covering the fundamentals, construction pipeline, fusion techniques, cognitive modeling, real‑world applications, and the emerging synergy between knowledge graphs and large language models, while highlighting technical challenges and future directions.

AIAnt GroupApplications
0 likes · 13 min read
Ant Group's Knowledge Graph: Overview, Construction, Applications, and Integration with Large Models
DaTaobao Tech
DaTaobao Tech
Sep 4, 2023 · Artificial Intelligence

Operations Research and Combinatorial Optimization for 3D Interior Layout Generation

The article surveys how operations research and combinatorial optimization model 3‑D interior layout generation as a complex decision problem, describes an iterative optimization framework, and reviews recent AI models like LEGO‑Net and CC3D that reduce collisions but still leave fully automatic high‑quality design as an open challenge.

3D layoutAIOperations Research
0 likes · 14 min read
Operations Research and Combinatorial Optimization for 3D Interior Layout Generation
Yunxuetang Frontend Team
Yunxuetang Frontend Team
Sep 1, 2023 · Frontend Development

Top Front‑End Insights: From Server‑Sent Events to Micro‑Frontends

This roundup explores cutting‑edge front‑end topics—from using Server‑Sent Events instead of WebSocket and the innovative Rome toolchain, to Git rebase strategies, the status of wangEditor, precise page‑dwell measurement, and the merits of micro‑frontends—while also debunking AI‑related programmer anxiety.

AIFrontendMicro Frontends
0 likes · 5 min read
Top Front‑End Insights: From Server‑Sent Events to Micro‑Frontends
DaTaobao Tech
DaTaobao Tech
Sep 1, 2023 · Artificial Intelligence

Research on Virtual Clothing Try-On Using Stable Diffusion and LoRA

This study evaluates virtual clothing try‑on by fine‑tuning LoRA models on a handful of garment images and integrating Stable Diffusion with ControlNet, Inpainting, and Segment Anything, showing that the AI‑generated pipeline matches or exceeds traditional geometric‑matching VTON in visual fidelity, especially for upper‑body apparel, while running locally on an RTX 3060.

AIControlNetFashion Generation
0 likes · 9 min read
Research on Virtual Clothing Try-On Using Stable Diffusion and LoRA
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Sep 1, 2023 · Artificial Intelligence

Understanding Function Calling and ReAct for LLM Agents with LangChain

This article explains how large language models can act as agents by using OpenAI's Function Calling and the ReAct prompting paradigm, compares their trade‑offs, and demonstrates practical implementations with LangChain, including code examples for defining tools, invoking functions, and orchestrating multi‑step reasoning.

AIFunction CallingLLM
0 likes · 21 min read
Understanding Function Calling and ReAct for LLM Agents with LangChain
Model Perspective
Model Perspective
Aug 30, 2023 · Artificial Intelligence

How Gradient Descent Trains Neural Networks: A Blind Hiker’s Journey

This article uses a blindfolded mountain‑climbing analogy to explain how gradient descent trains neural networks, covering cost functions, learning rates, iterative updates, and provides a Python implementation for a simple three‑layer network example.

AIBackpropagationNeural Network
0 likes · 10 min read
How Gradient Descent Trains Neural Networks: A Blind Hiker’s Journey
DataFunSummit
DataFunSummit
Aug 30, 2023 · Databases

Milvus: An AI‑Native Vector Database for Large Language Model Applications

This article introduces Milvus, an open‑source, cloud‑native vector database designed for AI workloads, explains how it helps mitigate large‑model hallucinations, outlines its CVP architecture, showcases performance benchmarks, and explores diverse application scenarios and future directions for LLM‑vector database integration.

AILLMMilvus
0 likes · 13 min read
Milvus: An AI‑Native Vector Database for Large Language Model Applications
HomeTech
HomeTech
Aug 30, 2023 · Operations

Home Platform Pipeline: Definition, Evolution, and Future AI‑Driven Plans

This article explains the concept of a software delivery pipeline, traces its evolution from traditional release processes through basic CI/CD pipelines to the current quality‑efficiency pipeline, and outlines future plans to integrate large language models for intelligent orchestration, testing, and deployment.

AIDevOpsci/cd
0 likes · 11 min read
Home Platform Pipeline: Definition, Evolution, and Future AI‑Driven Plans
php Courses
php Courses
Aug 30, 2023 · Artificial Intelligence

Microsoft Announces Third-Generation Turing Bletchley Visual Language Model

Microsoft unveiled its third‑generation Turing Bletchley visual language model, set to be integrated into Bing and other products to dramatically enhance image search, while also being used for content moderation on Xbox services, reflecting extensive user‑driven refinements.

AIBingMicrosoft
0 likes · 2 min read
Microsoft Announces Third-Generation Turing Bletchley Visual Language Model
DataFunSummit
DataFunSummit
Aug 29, 2023 · Artificial Intelligence

Artificial Intelligence in the Financial Sector: Background, Current Practices, Challenges, and Future Trends

The interview explores how artificial intelligence, driven by large models, data, and computing power, is transforming banking through digitalization, outlines current AI applications in finance, highlights challenges such as data ecosystems, model risk, and compute costs, and forecasts future trends toward personalized services, automation, and smarter risk management.

AIChallengesFinance
0 likes · 10 min read
Artificial Intelligence in the Financial Sector: Background, Current Practices, Challenges, and Future Trends
Programmer DD
Programmer DD
Aug 29, 2023 · Artificial Intelligence

Elon Musk’s Live FSD V12 Demo Shows AI‑Driven Full‑Self‑Driving in Action

Elon Musk streamed a 45‑minute, unedited live demonstration of Tesla’s new Full Self‑Driving V12 system, revealing its end‑to‑end AI video‑training approach, hardware constraints, power efficiency, code reduction, and real‑world performance across varied road scenarios, while highlighting a brief manual intervention.

AIArtificial IntelligenceAutonomous Driving
0 likes · 9 min read
Elon Musk’s Live FSD V12 Demo Shows AI‑Driven Full‑Self‑Driving in Action
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 28, 2023 · Artificial Intelligence

AI-Driven Application Engineering: From Prompt Engineering to Autonomous Agents

This article examines how the rapid rise of generative AI reshapes application engineering by outlining AI's core characteristics, the challenges developers face, the evolution of prompt and chain-of-thought techniques, the emergence of agents and tool integration, and the future direction toward AI‑centric computing architectures.

AIagentsapplication architecture
0 likes · 20 min read
AI-Driven Application Engineering: From Prompt Engineering to Autonomous Agents
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Aug 26, 2023 · Artificial Intelligence

Using AI and RPA to Solve Slider Captcha: A Practical Implementation with YOLOv8 and PyAutoGUI

This article demonstrates how to combine AI‑based object detection (YOLOv8) with robotic process automation (pyautogui) to automatically locate, drag and release slider captchas, covering data preparation, model training, screen capture, coordinate extraction, mouse simulation, and robustness improvements.

AICaptchaRPA
0 likes · 15 min read
Using AI and RPA to Solve Slider Captcha: A Practical Implementation with YOLOv8 and PyAutoGUI
Model Perspective
Model Perspective
Aug 25, 2023 · Artificial Intelligence

Understanding Common Loss Functions Across Machine Learning Models

This article explains the purpose of loss functions in machine learning and reviews the specific loss functions used by popular algorithms such as linear regression (MSE), logistic regression (cross‑entropy), decision trees, random forests, SVM (hinge loss), neural networks, and AdaBoost (exponential loss).

AIAlgorithmsLoss Functions
0 likes · 3 min read
Understanding Common Loss Functions Across Machine Learning Models
Volcano Engine Developer Services
Volcano Engine Developer Services
Aug 25, 2023 · Cloud Native

How ByteDance Scaled with Multi‑Cloud: Lessons from Their Cloud‑Native Journey

ByteDance’s multi‑cloud evolution, driven by rapid business growth, cost control, and compliance needs, showcases a distributed cloud‑native platform built on open‑source orchestration, unified resource management, and advanced data‑lake solutions, while addressing operational complexity, interoperability, and emerging AI‑driven challenges.

AIBig Datacloud-native
0 likes · 14 min read
How ByteDance Scaled with Multi‑Cloud: Lessons from Their Cloud‑Native Journey
DataFunTalk
DataFunTalk
Aug 24, 2023 · Artificial Intelligence

Multi-Agent Decision Large Models: Challenges, Action Semantic Networks, Permutation Invariance/Equivariance, and Automated Curriculum Learning

This talk outlines the fundamental challenges of multi‑agent decision large models, introduces three core design priors—action semantic networks, permutation invariance/equivariance, and cross‑task automated curriculum learning— and demonstrates how these concepts improve performance across diverse environments such as StarCraft, Neural‑MMO, and SMAC.

AICurriculum Learningaction semantics
0 likes · 12 min read
Multi-Agent Decision Large Models: Challenges, Action Semantic Networks, Permutation Invariance/Equivariance, and Automated Curriculum Learning
DataFunTalk
DataFunTalk
Aug 23, 2023 · Artificial Intelligence

Evaluating Large Language Model Item Encoders for Textual Collaborative Filtering in Recommendation Systems

This article investigates whether replacing traditional ID-based item encoders with massive LLMs such as GPT‑3 improves recommendation performance, by conducting extensive experiments on three real‑world datasets, analyzing performance limits, generality of item representations, and comparing against ID‑based and prompt‑based methods.

AIGPT-3LLM
0 likes · 15 min read
Evaluating Large Language Model Item Encoders for Textual Collaborative Filtering in Recommendation Systems
Baidu Geek Talk
Baidu Geek Talk
Aug 22, 2023 · Industry Insights

What Baidu’s First Commercial AI Competition Reveals About AIGC Trends

The article reviews Baidu's 2023 generative AI initiatives, details the inaugural Baidu Commercial AI Technology Innovation Competition co‑hosted with the China AI Society and NVIDIA, highlights winning teams' technical approaches in conversion prediction and inference optimization, and shares insights from industry leaders on future AI talent and innovation.

AIAIGCBaidu
0 likes · 8 min read
What Baidu’s First Commercial AI Competition Reveals About AIGC Trends
Ele.me Technology
Ele.me Technology
Aug 22, 2023 · Artificial Intelligence

Multi-Granularity Attention Model for Group Recommendation (MGAM)

The Multi‑Granularity Attention Model (MGAM) improves group recommendation by extracting subset, group, and superset preferences through hierarchical attention and graph neural networks, fusing them via self‑attention, and achieves state‑of‑the‑art offline results and a 1.2% online CTR lift in Alibaba’s local‑life services.

AIDeep LearningRecommendation Systems
0 likes · 18 min read
Multi-Granularity Attention Model for Group Recommendation (MGAM)
DataFunTalk
DataFunTalk
Aug 22, 2023 · Artificial Intelligence

Building Complex Distributed Systems with Ray: An AutoML Case Study and Cloud‑Native Deployment

This article explains how the Ray distributed computing engine simplifies the design, deployment, and operation of complex cloud‑native distributed systems—illustrated through an AutoML service example—by detailing system complexity, Ray’s core concepts, resource customization, runtime environments, monitoring, and ecosystem integrations.

AIAutoMLDistributed computing
0 likes · 26 min read
Building Complex Distributed Systems with Ray: An AutoML Case Study and Cloud‑Native Deployment
Ximalaya Technology Team
Ximalaya Technology Team
Aug 22, 2023 · Artificial Intelligence

Guidelines and Best Practices for Prompt Engineering with Large Language Models

The guide outlines prompt‑engineering best practices for large language models, distinguishing base and instruction‑tuned LLMs, emphasizing clear, structured, step‑by‑step prompts, handling hallucinations, iterating through idea‑code‑data cycles, applying techniques to summarization, reasoning and expansion, managing token costs, and providing concrete OpenAI API examples.

AIAPI UsageLLM
0 likes · 14 min read
Guidelines and Best Practices for Prompt Engineering with Large Language Models
FunTester
FunTester
Aug 22, 2023 · Artificial Intelligence

The Current State and Future Outlook of AI‑Driven Software Testing

The article examines how large‑language models, test‑case generation technologies, and model‑driven testing are reshaping software testing, discusses the challenges of applying AI to testing, and outlines future directions and skill sets for professionals seeking to leverage AI in quality assurance.

AIKnowledge Graphslarge language models
0 likes · 14 min read
The Current State and Future Outlook of AI‑Driven Software Testing
Baidu Geek Talk
Baidu Geek Talk
Aug 21, 2023 · Artificial Intelligence

Decoding Strategies for Generative Models: Top‑k, Top‑p, Contrastive Search, Beam Search, and Sampling

The article explains how generative models use deterministic methods like greedy and beam search and stochastic techniques such as top‑k, top‑p, contrastive search and sampling, describing their mechanisms, temperature control, repetition penalties, and practical trade‑offs for balancing fluency, diversity and coherence.

AIBeam SearchSampling
0 likes · 9 min read
Decoding Strategies for Generative Models: Top‑k, Top‑p, Contrastive Search, Beam Search, and Sampling
DataFunTalk
DataFunTalk
Aug 21, 2023 · Artificial Intelligence

Can We Build Large-Scale Models for Recommendation Systems?

In this talk, Zhang Pengtao, a Sina Weibo technical expert with a Ph.D. in computer applications, explores how the strong memory capabilities of NLP large language models inspire the design of independent memory mechanisms for recommendation systems, covering model concepts, HCNet & MemoNet, experimental results, and practical takeaways for enhancing recommendation model performance.

AIMemory MechanismsRecommendation Systems
0 likes · 2 min read
Can We Build Large-Scale Models for Recommendation Systems?
Java High-Performance Architecture
Java High-Performance Architecture
Aug 18, 2023 · Databases

Redis 7.2 Unified Release: Boost AI, Vector Search, and Real‑Time Functions

Redis 7.2, the first Unified Redis Release, introduces AI‑ready vector indexing, hybrid semantic search, scalable RAG support, server‑side Triggers and Functions, enhanced geospatial queries, and a preview of high‑performance searchable indexes, while expanding client library support and integrating Redis Data Integration for seamless enterprise data pipelines.

AIDatabaseRAG
0 likes · 8 min read
Redis 7.2 Unified Release: Boost AI, Vector Search, and Real‑Time Functions
Architect
Architect
Aug 17, 2023 · Backend Development

Design and Implementation of Bilibili's New Customer Service System

This article details Bilibili's transition from a purchased customer‑service platform to a self‑developed system, describing the background, architectural design, core modules such as intelligent QA, seat scheduling, workbench, permission management, the use of Faiss for vector search, and future explorations with large language models, highlighting the technical challenges and solutions across backend development and AI integration.

AIBackendCustomer Service
0 likes · 22 min read
Design and Implementation of Bilibili's New Customer Service System
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Aug 17, 2023 · Artificial Intelligence

Human Visual Perception Based Edge‑Cloud Super‑Resolution Framework and RedVQA Quality Assessment at XiaoHongShu

At LiveVideoStackCon 2023, XiaoHongShu unveiled an edge‑cloud super‑resolution framework guided by the human‑perception‑aligned RedVQA model, which jointly optimizes video quality and bandwidth by generating a dedicated SR bitrate tier in the cloud and applying a lightweight SR algorithm on the client, achieving notable QoE gains and narrow‑band HD delivery.

AIbandwidth optimizationedge-cloud
0 likes · 25 min read
Human Visual Perception Based Edge‑Cloud Super‑Resolution Framework and RedVQA Quality Assessment at XiaoHongShu
DataFunSummit
DataFunSummit
Aug 17, 2023 · Artificial Intelligence

Research and Applications of Large Language Models in ICT Operations

This presentation explores the fundamental concepts of large language models, their evolution in natural language processing for ICT, practical applications in log‑driven operations, experimental results of models like BigLog and LogXXX, and future visions for AI‑driven autonomous operation.

AIICT operationslog analysis
0 likes · 10 min read
Research and Applications of Large Language Models in ICT Operations
Architects Research Society
Architects Research Society
Aug 16, 2023 · Mobile Development

Top 15 Mobile App Development Trends to Watch in 2022

The 2022 mobile app development landscape is shaped by 5G adoption, foldable devices, AR/VR, wearables, food delivery, entertainment, AI/ML, security, super apps, mobile commerce, P2P payments, blockchain, predictive analytics, mobile learning, and IoT‑enabled apps, all driving faster, richer, and more secure user experiences.

20225GAI
0 likes · 23 min read
Top 15 Mobile App Development Trends to Watch in 2022
php Courses
php Courses
Aug 16, 2023 · Artificial Intelligence

How Generative AI Is Transforming Search and SEO

The rise of generative AI chatbots like ChatGPT is reshaping how users find information, prompting a shift from traditional search engine results to direct answers, which threatens existing SEO models, advertising revenue, and raises questions about content trust, monetization, and future search strategies.

AIContent MarketingGenerative AI
0 likes · 9 min read
How Generative AI Is Transforming Search and SEO
NetEase Smart Enterprise Tech+
NetEase Smart Enterprise Tech+
Aug 16, 2023 · Artificial Intelligence

How AGI and AIGC Are Transforming Software Development at NetEase Cloud

This article summarizes NetEase Cloud's CTO Xu Hangsheng's presentation on AGI and AIGC, detailing how generative AI enhances each phase of the software development lifecycle—from requirement analysis and design to coding, testing, deployment, and support—while offering practical tips, Copilot‑style tools, and real‑world case studies.

AIAIGCSDLC
0 likes · 19 min read
How AGI and AIGC Are Transforming Software Development at NetEase Cloud
Tencent Cloud Developer
Tencent Cloud Developer
Aug 14, 2023 · Artificial Intelligence

Overview of Open‑Source Large Language Models: Llama 2, ChatGLM 2, Usage, Fine‑Tuning and Comparison

The article reviews the rapid evolution of open‑source large language models, detailing Meta’s Llama 2 series and Tsinghua’s ChatGLM 2, their enhanced capabilities such as RLHF, larger context windows, safety‑usefulness trade‑offs, performance gains, download and fine‑tuning procedures, and how they increasingly rival proprietary models like GPT‑4.

AIChatGLM2Llama2
0 likes · 10 min read
Overview of Open‑Source Large Language Models: Llama 2, ChatGLM 2, Usage, Fine‑Tuning and Comparison
Alimama Tech
Alimama Tech
Aug 9, 2023 · Artificial Intelligence

Highlights of Alibaba Mama Team Papers Accepted at CIKM 2023

Eight Alibaba Mama team papers accepted at CIKM 2023 present advances such as task‑specific bottom‑representation networks for recommendation, a unified GNN for multi‑scenario e‑commerce search, multi‑slot bid shading, consistency‑oriented pre‑ranking, bias‑mitigating CTR prediction, efficient progressive‑sampling self‑attention, delayed‑feedback conversion modeling, and hybrid contrastive multi‑scenario ad ranking.

AICTR predictionGraph Neural Network
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Highlights of Alibaba Mama Team Papers Accepted at CIKM 2023
Baidu Geek Talk
Baidu Geek Talk
Aug 9, 2023 · Industry Insights

Why Vector Retrieval Is the Backbone of Modern LLM Applications

The article explains how vectors represent data in high‑dimensional space, describes the embedding process, outlines the evolution and challenges of vector search, compares exact and approximate algorithms such as IVF, product quantization and HNSW, and details Baidu’s cloud‑native engineering solutions for scalable, filtered vector retrieval.

AIEmbeddingHNSW
0 likes · 14 min read
Why Vector Retrieval Is the Backbone of Modern LLM Applications
DataFunTalk
DataFunTalk
Aug 9, 2023 · Artificial Intelligence

CCKS 2023 – China Conference on Knowledge Graph and Semantic Computing, August 24‑27, 2023, Shenyang

The 17th China Conference on Knowledge Graph and Semantic Computing (CCKS 2023) will be held in Shenyang from August 24‑27, featuring the theme “Knowledge Graph Empowering General AI”, a full program of workshops, invited talks, special forums, industrial sessions, registration details, and links to the OpenKG initiative.

AICCKS2023Knowledge Graph
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CCKS 2023 – China Conference on Knowledge Graph and Semantic Computing, August 24‑27, 2023, Shenyang
DataFunSummit
DataFunSummit
Aug 8, 2023 · Artificial Intelligence

Xiaomi’s Experience in Deploying Intelligent Analytics: Productization, Challenges, and Future Plans

The article shares Xiaomi’s practical experience in building and productizing intelligent analytics, explaining why it is needed, how it integrates with BI, the essential prerequisites, staged implementation, technical challenges, and future roadmap including smart alerts, automated insights, and data Q&A.

AIBI IntegrationBig Data
0 likes · 15 min read
Xiaomi’s Experience in Deploying Intelligent Analytics: Productization, Challenges, and Future Plans
DataFunTalk
DataFunTalk
Aug 7, 2023 · Artificial Intelligence

DataFun Decision Intelligence Summit – Reinforcement Learning Forum Overview

The DataFun Decision Intelligence Summit brings together leading researchers and industry experts to present cutting‑edge reinforcement learning algorithms, safety considerations, distributional methods, and real‑world applications such as vehicle routing, recommender systems, and power‑grid scheduling, highlighting future directions and audience takeaways.

AIRecommendation Systemsdistributional RL
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DataFun Decision Intelligence Summit – Reinforcement Learning Forum Overview
Kuaishou Tech
Kuaishou Tech
Aug 7, 2023 · Artificial Intelligence

GFN4Rec: Generative Flow Networks for Listwise Recommendation

This paper introduces GFN4Rec, a generative flow network approach for listwise recommendation that models the entire list generation as a probability flow, optimizing list-level reward to simultaneously improve recommendation accuracy and diversity, and validates its effectiveness on multiple datasets and simulators.

AIGFlowNetGenerative Models
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GFN4Rec: Generative Flow Networks for Listwise Recommendation
360 Quality & Efficiency
360 Quality & Efficiency
Aug 4, 2023 · Artificial Intelligence

Machine Learning Model Testing Workflow and Best Practices

This article outlines the essential concepts, data preparation, model creation, training, deployment, and verification steps for testing machine‑learning models, highlighting dataset requirements, algorithm categories, framework choices, resource considerations, and provides a sample inference request.

AIModel DeploymentXGBoost
0 likes · 7 min read
Machine Learning Model Testing Workflow and Best Practices
DataFunSummit
DataFunSummit
Aug 3, 2023 · Artificial Intelligence

Integrating Vector Databases with Large Language Models for Enterprise AI Applications

The article explains how combining vector databases with large language models can help governments and enterprises leverage massive private data for AI, covering semantic search, approximate nearest neighbor techniques, alignment challenges across modalities, and future directions for fine‑grained data integration.

AILarge Language ModelVector Database
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Integrating Vector Databases with Large Language Models for Enterprise AI Applications
Model Perspective
Model Perspective
Aug 2, 2023 · Artificial Intelligence

How Segment Anything (SAM) Is Revolutionizing Image Segmentation

This article explains the fundamentals of image segmentation, introduces the open‑source Segment Anything Model (SAM) and its massive SA‑1B dataset, outlines SAM's unique promptable, real‑time capabilities, and explores its wide‑ranging future applications across AR/VR, content creation, and scientific research.

AISAMcomputer vision
0 likes · 7 min read
How Segment Anything (SAM) Is Revolutionizing Image Segmentation
DaTaobao Tech
DaTaobao Tech
Aug 2, 2023 · Artificial Intelligence

Prompt Engineering: Concepts, Frameworks, and Best Practices

The article surveys prompt engineering for large language models, detailing frameworks such as ICIO, BROKE, CRISPE, TRACE, COT and ToT, outlines best‑practice principles, provides diverse template examples, addresses common response issues with mitigation tactics, and lists learning resources and a Java refactoring case study.

AIBest Practicesprompt design
0 likes · 23 min read
Prompt Engineering: Concepts, Frameworks, and Best Practices
21CTO
21CTO
Jul 31, 2023 · Artificial Intelligence

How Stack Overflow’s New AI Platform Is Transforming Developer Help

Stack Overflow announced OverflowAI, a suite of generative AI-powered features that leverage its massive Q&A repository to deliver faster, trustworthy code solutions, integrating with Stack Overflow for Teams, Visual Studio Code, Slack, and a new conversational search across public and private platforms.

AIDeveloper ToolsProduct Launch
0 likes · 6 min read
How Stack Overflow’s New AI Platform Is Transforming Developer Help
Alimama Tech
Alimama Tech
Jul 31, 2023 · Artificial Intelligence

Intelligent Commerce 2.0: AI‑Driven Innovations Presented by Alibaba at ACM SIGAI Forum

At the ACM China Turing SIGAI Forum, Alibaba’s CTO Zheng Bo unveiled “Intelligent Commerce 2.0,” a knowledge‑driven AI era that shifts commerce from statistical data to causal decision‑making, leveraging generative large‑model, multimodal and AI Serving4LM technologies for B2B/B2C marketing, analytics, risk control, asset management, and is supported by the Peking‑University‑Alibaba PAAI lab’s research on graph models, decision intelligence and AI‑generated music.

AIIntelligent Commercedecision intelligence
0 likes · 4 min read
Intelligent Commerce 2.0: AI‑Driven Innovations Presented by Alibaba at ACM SIGAI Forum
Architects' Tech Alliance
Architects' Tech Alliance
Jul 30, 2023 · Fundamentals

Understanding Network Protocols, Switches, and RDMA in AI‑Driven Data Centers

This article explains the fundamentals of network protocols and the OSI model, describes how high‑performance computing and AI workloads drive the transition from TCP/IP to RDMA technologies such as InfiniBand, RoCE and iWARP, and examines modern data‑center switch architectures, market trends, and NVIDIA’s AI‑focused networking solutions.

AINetwork ProtocolsRDMA
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Understanding Network Protocols, Switches, and RDMA in AI‑Driven Data Centers
AI Large Model Application Practice
AI Large Model Application Practice
Jul 29, 2023 · Artificial Intelligence

How TypeChat Turns Natural Language into Structured JSON with LLMs

TypeChat, an open‑source project from Microsoft’s TypeScript creator, demonstrates how large language models can translate free‑form user requests into strongly‑typed JSON structures, enabling natural‑language interfaces for applications such as coffee ordering while reducing the complexity of traditional intent‑recognition pipelines.

AILLMTypeChat
0 likes · 7 min read
How TypeChat Turns Natural Language into Structured JSON with LLMs
Programmer DD
Programmer DD
Jul 28, 2023 · Artificial Intelligence

How Shopify’s AI Gamble Triggered Massive Layoffs and Customer Chaos

Shopify’s rapid adoption of ChatGPT‑powered assistants and the later launch of the Sidekick AI tool led to aggressive cost‑cutting, a 20% workforce reduction, deteriorating customer support, rising fraud risks, and widespread criticism from merchants and insiders.

AIOperationsShopify
0 likes · 9 min read
How Shopify’s AI Gamble Triggered Massive Layoffs and Customer Chaos
Meituan Technology Team
Meituan Technology Team
Jul 27, 2023 · Artificial Intelligence

Street Scene Understanding: Segmentation Technology, Research Progress, and Business Applications

Meituan’s Street‑Scene Understanding team built a high‑precision, efficient segmentation system that aligns motion and static semantics, mines hard examples, iterates models via a data‑model loop, and pursues unified open‑world segmentation, winning multiple CVPR 2023 awards and powering map production, autonomous delivery and store‑scene reconstruction.

AICVPR 2023Meituan
0 likes · 31 min read
Street Scene Understanding: Segmentation Technology, Research Progress, and Business Applications
DaTaobao Tech
DaTaobao Tech
Jul 26, 2023 · Artificial Intelligence

LangChain: A New Chapter in Large Language Models

In this event, a senior Alibaba Taobao Tech engineer introduces LangChain—a framework for large language models—explaining its core concepts, diverse applications, and future directions, and shows attendees how to leverage the platform to boost AI capabilities within their own businesses.

AIAlibabaDataFun
0 likes · 1 min read
LangChain: A New Chapter in Large Language Models
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 25, 2023 · Artificial Intelligence

Fine‑Tune and Deploy Llama 2 on Alibaba Cloud PAI in Minutes

This guide walks you through using Meta's open‑source Llama 2 models on Alibaba Cloud's PAI platform, covering low‑code LoRA fine‑tuning, full‑parameter fine‑tuning with PAI‑DSW, and rapid WebUI deployment via PAI‑EAS, complete with step‑by‑step instructions, code snippets, and resource requirements.

AIAlibaba CloudLlama2
0 likes · 16 min read
Fine‑Tune and Deploy Llama 2 on Alibaba Cloud PAI in Minutes
DeWu Technology
DeWu Technology
Jul 24, 2023 · Artificial Intelligence

Design and Implementation of a Word Distribution Platform for Personalized Recommendations

The paper presents a unified word‑distribution platform that delivers personalized bottom‑words, hot‑words, and drop‑down suggestions across e‑commerce domains, detailing its preprocessing, recall, fusion, ranking, and re‑ranking pipelines, C++ engine migration, script hot‑deployment, visual configuration tools, and stability mechanisms for scalable, low‑maintenance guide services.

AISystem architectureWord Distribution
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Design and Implementation of a Word Distribution Platform for Personalized Recommendations
Architects Research Society
Architects Research Society
Jul 24, 2023 · Artificial Intelligence

Neural Search in Apache Solr: Dense Vector Fields, HNSW Graphs, and K‑Nearest Neighbor Implementation

This article explains how Apache Solr implements neural search using dense vector fields, K‑Nearest Neighbor algorithms, and Hierarchical Navigable Small World graphs, detailing the underlying Lucene support, configuration options, query syntax, and integration with AI‑driven vector representations.

AIApache SolrDense Vectors
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Neural Search in Apache Solr: Dense Vector Fields, HNSW Graphs, and K‑Nearest Neighbor Implementation
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jul 23, 2023 · Artificial Intelligence

Ten Deep Learning Based Image Dehazing Algorithms: Principles, Implementations, and Comparisons

This article reviews ten state‑of‑the‑art single‑image dehazing methods—including DehazeNet, MSCNN, AOD‑Net, NLD, SSLD, EPDN, DAD, PSD, MSBDN and GFN—detailing their underlying atmospheric scattering models, network architectures, training pipelines, advantages, drawbacks, and providing links to papers, code repositories and illustrative results.

AICNNimage dehazing
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Ten Deep Learning Based Image Dehazing Algorithms: Principles, Implementations, and Comparisons
Kuaishou Tech
Kuaishou Tech
Jul 21, 2023 · Artificial Intelligence

Selected Papers from Kuaishou Community Science Track at SIGIR 2023

This article presents five peer‑reviewed papers accepted to the Kuaishou Community Science track at the 2023 ACM SIGIR conference, covering offline reinforcement learning for recommendation fairness, global residual value for fair item exposure, personalized QoE in short‑form video, multi‑behavior self‑supervised recommendation, and a search‑enhanced sequential recommendation framework.

AIFairnessSearch
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Selected Papers from Kuaishou Community Science Track at SIGIR 2023
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 20, 2023 · Artificial Intelligence

How AI Agents and Tools Transform Operations: A Hands‑On LangChain Guide

This article explores how large AI models can act as autonomous agents equipped with tools, demonstrates practical LangChain examples for remote server queries and RSS parsing, explains the ReAct reasoning‑acting loop, and shows how decorators and object‑oriented patterns enable seamless AI‑driven programming.

AILangChainPython
0 likes · 32 min read
How AI Agents and Tools Transform Operations: A Hands‑On LangChain Guide