GitHub - promptslab/LLMtuner: Tune LLM in few lines of code

22365_3_Prompt Engineering_v7 (1)

The content covers prompt engineering for large language models, including techniques, output configurations, and best practices to optimize prompts for various tasks while enhancing model performance and response accuracy.

LiteLLM | Works With Supabase

Introducing Tuna - A Tool for Rapidly Generating Synthetic Fine-Tuning Datasets

GitHub - katanaml/sparrow: Data processing with ML, LLM and Vision LLM

GitHub - dontriskit/awesome-ai-system-prompts: 🧠 Curated collection of system prompts for top AI tools. Perfect for AI agent builders and prompt engineers. Incuding: ChatGPT, Claude, Perplexity, Manus, Claude-Code, Loveable, v0, Grok,...