jedi4ever/learning-llms-and-genai-for-dev-sec-ops

Structured lesson narratives combining LangChain fundamentals with practical implementations of RAG, agents, and function-calling patterns. Covers operational concerns like token cost tracking, embedding caching, and local LLM deployment via Ollama, alongside security topics including prompt injection detection, toxicity filtering, and OWASP LLM vulnerabilities. Uses Jupyter notebooks with Poetry dependency management, deployable via devcontainer or local Python 3.11+ setup.

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