https://github.com/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 instruction-fine-tuning iterative-fine-tuning llama-models llm-accuracy lora memory-tuning model-reliability mome performance-optimization prompt-engineering self-reflection text-to-sql

Last synced: 28 Mar 2025