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LLM Course Update: Agentic AI and Reinforcement Learning

  • * The LLM Course has reached 50,000 stars, prompting an update focusing on agentic AI, which was previously postponed due to limited technical content. The course is available at: https://github.com/mlabonne/llm-course
  • * The update includes proper introductions to MCP (likely referring to Model-based Control Policy) and GRPO (likely referring to Gradient Ratio Policy Optimization), suggesting a deeper dive into reinforcement learning techniques relevant to LLM agents.
  • * References and older content within the course have been updated to maintain relevance and accuracy.
  • * _Limitation:_ The announcement provides no specific technical details or metrics regarding the performance or implementation of the agentic AI components or the updated MCP/GRPO sections.
  • * According to additional sources, the LLM Learning Resources, which include the LLM Course, use roadmaps and Colab notebooks to guide users through the learning process, assuming basic familiarity with machine learning concepts.
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