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qasim-mehar/Learn_GenAI_By_Doing

A hands-on GenAI journey exploring LLM fine-tuning, RAG, diffusion models & agentic workflows. Built with PyTorch, LangChain & Hugging Face, this repo documents experiments in prompt engineering, RLHF, and AI app deployment. Less pure theory, more code because the absolute best way to master AI is by building and breaking things.

What is Learn_GenAI_By_Doing?

Learn_GenAI_By_Doing is a Claude Code agent skill that a hands-on GenAI journey exploring LLM fine-tuning, RAG, diffusion models & agentic workflows. Built with PyTorch, LangChain & Hugging Face, this repo documents experiments in prompt engineering, RLHF, and AI app deployment. Less pure theory, more code because the absolute best way to master AI is by building and breaking things.

Works with✓Claude Code✓Codex CLI~Cursor✓Antigravity✓Gemini CLI
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What does Learn_GenAI_By_Doing do?

A hands-on GenAI journey exploring LLM fine-tuning, RAG, diffusion models & agentic workflows. Built with PyTorch, LangChain & Hugging Face, this repo documents experiments in prompt engineering, RLHF, and AI app deployment. Less pure theory, more code because the absolute best way to master AI is by building and breaking things.

Source: https://github.com/qasim-mehar/Learn_GenAI_By_Doing

Discovered from GitHub repositories pushed in the last 24 hours for agent skills, Claude/Codex/Gemini workflows, MCP tooling, and adjacent AI-agent automation.

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