CHAT GI-IADS
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  • Introduction to the documentation
  • Overview of Large Language Models
  • Understanding the Architecture of Transformers
  • Applications of LLMs
  • Synthetic Data Generation & Data preprocessing
  • Computational Challenges in Training Large Language Models
  • Fine-tuning techniques
  • Benchmarking and Evaluation
  • Prompt engineering
  • Retrieval-Augmented Generation (RAG)
  • langchain
  • Reinforcement Learning from Human Feedback
  • Mistral 7B:Use and fine-tune
CHAT GI-IADS
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