Generative AI and LLM Applications with LangChain and Hugging Face

Built LLM applications across 19 project areas using LangChain — OpenAI GPT-4o and Ollama (gemma:2b) with LCEL chaining, document loaders (PyPDF, web, ArXiv, Wikipedia), text splitters (RecursiveCharacter/JSON), embeddings, vector stores (FAISS, Chroma, AstraDB), conversation-history chatbots, RAG document Q&A with Groq, SQL database agents, summarization, and CodeLlama and NVIDIA NIM integrations. Fine-tuned an end-to-end binary text classifier (food vs not-food image captions) with the Hugging Face ecosystem — custom dataset creation, tokenization, AutoModelForSequenceClassification, Trainer, Evaluate, Accelerate — published as a shareable Gradio demo on Hugging Face Spaces.
GitHub link: https://www.twine.net/signin | https://www.twine.net/signin