Category: Fine-tuning

• From Monolithic Models to AI Agents: A New Era of Generative AI

  

  Large Language Models (LLMs) exhibit impressive capabilities but are susceptible to hallucinations. To address this issue, agentic AI emerges as a potential solution. The shift from monolithic models to compound AI systems, along with the rise of AI agents, represents significant progress in generative AI and problem-solving capacity. In this post, we will share key…

  aitalks

  August 8, 2024

  AI, AI Agents, compound ai systems, Fine-tuning, LLM, Monolithic, RAG, ReAct

  agentic ai, AI Agents, compound ai systems, control logic, foundation models, LLM, monolithic models, ReAct, system design

• Comparing Retrieval-Augmented Generation (RAG) and Fine-tuning: Advantages and Limitations

  

  Analyzing Retrieval-Augmented Generation and fine-tuning in AI, this blog post examines their distinct advantages and challenges. Comparing these methods helps identify the ideal approach for specific project needs and objectives.

  aitalks

  May 31, 2024

  AI, AI Keywords, Fine-tuning, LLM, RAG

  AI, dynamic knowledge access, Fine-tuning, LLMs, model enhancement, RAG