instruction-fine-tuning

There are 0 repository under instruction-fine-tuning topic.

ksm26 / Improving-Accuracy-of-LLM-Applications
The course equips developers with techniques to enhance the reliability of LLMs, focusing on evaluation, prompt engineering, and fine-tuning. Learn to systematically improve model accuracy through hands-on projects, including building a text-to-SQL agent and applying advanced fine-tuning methods.
evaluation-framework lora mome performance-optimization prompt-engineering self-reflection text-to-sql instruction-fine-tuning iterative-fine-tuning llama-models llm-accuracy memory-tuning model-reliability
Language:Jupyter Notebook 3
satyampurwar / large-language-models
Unlocking the Power of Generative AI: In-Context Learning, Instruction Fine-Tuning, Reinforcement Learning Fine-Tuning, Retrieval Augmented Generation and LangGraph Workflows for AI Agents.
bert few-shot-prompting flan-t5 generative-ai large-language-models low-rank-adaptation peft-fine-tuning-llm prompt-engineering reinforcement-learning-from-human-feedback model-quantization reinforcement-learning-from-ai-feedback instruction-fine-tuning faiss-vector-database huggingface-embeddings langchain rag-pipeline retrieval-augmented-generation ai-agents langgraph rag-chain
Language:Jupyter Notebook 0