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.

语言：Jupyter Notebook · GitHub 星标：4 · Fork：4

话题：evaluation-framework · instruction-fine-tuning · iterative-fine-tuning · llama-models · llm-accuracy · lora · memory-tuning · model-reliability

在 GitHub 上查看原仓库