curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
Demonstrates production deployment patterns using vector databases for semantic search, memory management for multi-turn conversations, and agent frameworks for autonomous task execution. Covers fine-tuning workflows with QLoRA for parameter-efficient adaptation and integration with hosted inference endpoints (HuggingFace, RunPod) alongside local model serving. Includes practical implementations with open-source alternatives to commercial APIs, enabling cost-effective private deployments on consumer hardware.
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