curiousily

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. Maintained by curiousily on GitHub, where it has earned 1,247 stars from the community.

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini). Maintained by curiousily on GitHub, where it has earned 932 stars from the community.

Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch. Maintained by curiousily on GitHub, where it has earned 213 stars from the community.

Completely local RAG. Chat with your PDF documents (with open LLM) and UI to that uses LangChain, Streamlit, Ollama (Llama 3.1), Qdrant and advanced methods like reranking and semantic chunking. Maintained by curiousily on GitHub, where it has earned 129 stars from the community.

Streamlit application that leverages ChatGPT and LangChain to analyze tweet sentiment from selected Twitter authors. Maintained by curiousily on GitHub, where it has earned 59 stars from the community.

Write tweets with AI Agents (CrewAI) and LLMs (Llama 3, GPT-4o). Maintained by curiousily on GitHub, where it has earned 32 stars from the community.