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Tencent Technical Engineering

Official account of Tencent Technology. A platform for publishing and analyzing Tencent's technological innovations and cutting-edge developments.

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Latest from Tencent Technical Engineering

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Tencent Technical Engineering

Jul 14, 2025 · Artificial Intelligence

Demystifying AIGC, Agents, and MCP: Core Concepts and How They Interact

This article provides a concise overview of the latest AI concepts—including AIGC, Retrieval‑Augmented Generation, Function‑Calling models, intelligent agents, and the Model Context Protocol—explaining their principles, differences, and how they can be combined to build more powerful AI applications for developers outside the AI field.

AIGCAgentFunction Calling

0 likes · 15 min read

Demystifying AIGC, Agents, and MCP: Core Concepts and How They Interact

Tencent Technical Engineering

Jul 11, 2025 · Artificial Intelligence

How DeepSeek Achieved 15,800+ Tokens/s: Full‑Stack Inference Optimizations

This article details the Angel‑HCF team's end‑to‑end DeepSeek inference optimizations—including PD separation, multi‑layer MTP, EP and DP parallelism, hardware‑aware kernels, and load‑balancing strategies—that boost throughput to over 15,800 tokens per second while keeping per‑token latency under 50 ms.

AI PerformanceDeepSeekGPU utilization

0 likes · 13 min read

How DeepSeek Achieved 15,800+ Tokens/s: Full‑Stack Inference Optimizations

Tencent Technical Engineering

Jul 8, 2025 · Artificial Intelligence

Why GPUs Power Large‑Model Inference: From Graphics to GPGPU

This article explains how modern GPUs evolved from graphics rendering to general‑purpose computing, details the CPU‑GPU heterogenous architecture, walks through a CUDA demo that adds two billion‑element arrays, compares CPU and GPU performance, and describes the compilation, loading, and execution pipeline of CUDA kernels.

AI inferenceCUDAGPGPU

0 likes · 33 min read

Why GPUs Power Large‑Model Inference: From Graphics to GPGPU

Tencent Technical Engineering

Jul 3, 2025 · Artificial Intelligence

Winning the NTIRE 2025 UGC Video Enhancement Challenge: A Progressive AI Framework

Tencent’s TEG team secured first place in the NTIRE 2025 UGC Video Enhancement competition by introducing a progressive, three‑stage AI framework that decomposes enhancement tasks into expert models for color correction, denoising, and temporal stability, incorporates advanced loss functions, extensive hardware‑level optimizations, INT8 quantization techniques, and outlines future diffusion‑based generative enhancements.

AIdiffusion modelshardware optimization

0 likes · 17 min read

Winning the NTIRE 2025 UGC Video Enhancement Challenge: A Progressive AI Framework

Tencent Technical Engineering

Jul 1, 2025 · Information Security

How Wukong AI Agent Uncovered a Critical RCE Vulnerability in LLaMA‑Factory (CVE‑2025‑53002)

This article details how the Wukong AI Agent automatically audited the popular LLaMA‑Factory project, discovered a high‑severity remote code execution vulnerability (CVE‑2025‑53002) caused by unsafe torch.load usage, reported it to the maintainers, and demonstrated the official fix that adds a secure weights_only flag.

AI securityCVE-2025-53002LLaMA-Factory

0 likes · 8 min read

How Wukong AI Agent Uncovered a Critical RCE Vulnerability in LLaMA‑Factory (CVE‑2025‑53002)

Tencent Technical Engineering

Jun 30, 2025 · Artificial Intelligence

How iMatch Won CVPR2025 NTIRE Image-Text Alignment: Techniques & Benchmarks

The IH‑VQA team’s iMatch solution clinched the CVPR2025 NTIRE Image‑Text Alignment champion by introducing dual‑model fusion, pseudo‑label data augmentation, Q‑Align probability mapping, and visual augmentations, and the paper also presents a comprehensive iMatch benchmark evaluating 23 state‑of‑the‑art text‑to‑image models across multiple resolutions.

AI quality assessmentCVPR2025Multimodal Evaluation

0 likes · 15 min read

How iMatch Won CVPR2025 NTIRE Image-Text Alignment: Techniques & Benchmarks

Tencent Technical Engineering

Jun 27, 2025 · Mobile Development

How to Slash Unreal Engine Android APK Size: Proven UE4/UE5 Optimization Techniques

This article explains how to reduce Unreal Engine Android package size and native library memory usage by applying a series of build‑time and resource‑trimming strategies—including native lib compression, code size reduction, relocation table compression, and selective asset packaging—while preserving runtime performance.

APK size optimizationAndroidUE4

0 likes · 19 min read

How to Slash Unreal Engine Android APK Size: Proven UE4/UE5 Optimization Techniques

Tencent Technical Engineering

Jun 20, 2025 · Artificial Intelligence

Mastering AI Agents: Core Concepts, Protocols, and Golang Frameworks for Multi‑Agent Collaboration

This comprehensive article explores the evolution of AI agents, explains key protocols like MCP and A2A, compares reasoning frameworks such as CoT, ReAct, and Plan‑and‑Execute, and demonstrates how Golang frameworks Eino and tRPC‑A2A‑Go enable elegant development, orchestration, and observability of complex multi‑agent systems with practical code examples and visual diagrams.

A2AAI agentEino

0 likes · 55 min read

Mastering AI Agents: Core Concepts, Protocols, and Golang Frameworks for Multi‑Agent Collaboration

Tencent Technical Engineering

Jun 16, 2025 · Artificial Intelligence

Mastering RAG and AI Agents: Practical Tips, Code Samples, and Evaluation Strategies

This comprehensive guide walks you through the fundamentals of Retrieval‑Augmented Generation (RAG) and AI agents, explains their inner workings, shares optimization tricks, provides ready‑to‑run code snippets, and demonstrates how to evaluate performance with metrics such as recall, faithfulness, and answer relevance.

AI agentsLLMRAG

0 likes · 36 min read

Mastering RAG and AI Agents: Practical Tips, Code Samples, and Evaluation Strategies

Tencent Technical Engineering

Jun 9, 2025 · Artificial Intelligence

Is Model Context Protocol (MCP) the Future of AI Tool Integration? A Critical Review

This article critically examines the rise of Model Context Protocol (MCP) in AI, explaining its purpose as a unified tool‑calling standard, detailing its architecture, comparing it with traditional function calls, and evaluating the technical and market challenges that limit its universal applicability.

AI ecosystemAI tool integrationAgent

0 likes · 21 min read

Is Model Context Protocol (MCP) the Future of AI Tool Integration? A Critical Review