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Agentic AI

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Instant Consumer Technology Team
Instant Consumer Technology Team
May 28, 2025 · Artificial Intelligence

How Agentic AI Will Transform HR in 2025 – The Next AI Revolution

Agentic AI, the emerging autonomous AI technology, differs from traditional AI agents by offering self‑directed decision‑making, adaptability, and goal‑orientation, promising to automate recruitment, performance evaluation, and employee experience, while 2025 is poised to become the year of AI agents in HR, demanding responsible implementation.

Agentic AIHR technologyRecruitment automation
0 likes · 10 min read
How Agentic AI Will Transform HR in 2025 – The Next AI Revolution
Tencent Cloud Developer
Tencent Cloud Developer
Apr 2, 2025 · Artificial Intelligence

Understanding Retrieval‑Augmented Generation (RAG): Concepts, Types, and Development

Retrieval‑Augmented Generation (RAG) enhances large language models by fetching up‑to‑date external knowledge before generation, mitigating knowledge‑cutoff limits and hallucinations through a retrieval step (using text, vector, or graph methods) and a generation step, evolving from naive single‑method approaches to advanced, modular, graph‑based, and agentic systems that enable adaptive, multi‑hop reasoning and future intelligent, multimodal pipelines.

AIAgentic AIHallucination Mitigation
0 likes · 9 min read
Understanding Retrieval‑Augmented Generation (RAG): Concepts, Types, and Development
DataFunSummit
DataFunSummit
Jan 24, 2025 · Artificial Intelligence

Exploring LLM‑Based Generative Business Intelligence (GenBI): Architecture, Implementation, and Lessons Learned

With the rise of LLM‑based generative AI, this article examines the emerging GenBI (Generative Business Intelligence) paradigm, detailing why self‑serving analytics are needed, the progress of Text‑to‑SQL, an LLM‑driven agent architecture, practical AWS Bedrock implementation, technical choices, lessons learned, and future outlook.

AWS BedrockAgentic AIGenerative AI
0 likes · 18 min read
Exploring LLM‑Based Generative Business Intelligence (GenBI): Architecture, Implementation, and Lessons Learned
DevOps
DevOps
Dec 12, 2024 · Artificial Intelligence

The Future of Large Language Models: From Consumer Q&A to Agentic Workflows

Andrew Ng highlights that large language models are shifting from optimizing simple question‑answering for consumers to supporting complex agentic workflows, including tool usage, computer interaction, and multi‑agent collaboration, signaling a major evolution in AI capabilities.

AI TrendsAI agentsAgentic AI
0 likes · 8 min read
The Future of Large Language Models: From Consumer Q&A to Agentic Workflows