AI-powered Jupyter Notebook. Use AI to generate and edit code cells, automatically fix errors, and chat with your data
Jupyter Notebooks for Ollama integration
Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local).
Serve Ollama LLMs on Google Colab (free plan) using Ngrok
Notebook to run Ollama on Google Colab
This repository provides a ready-to-use Google Colab notebook that turns Colab into a temporary server for running local LLM models using Ollama. It exposes the model API via a secure Cloudflare tunnel, allowing remote access from tools like curl or ROO Code in VS Code — no server setup or cloud deployment required.
Prompt Engineering using LangChain NoteBooks From Scratch
A meticulously curated collection of hands-on Jupyter notebooks, designed to illuminate the comprehensive application of MLflow across a spectrum ranging from foundational Machine Learning principles to pioneering Generative AI paradigms.
Collection of python notebvoooks related to ollama
🎯 Transform diverse content into NotebookLM formats like podcasts, PPTs, mind maps, and quizzes with ease.
📚 Explore advanced Retrieval-Augmented Generation implementations with intelligent agents using LangChain and various vector stores.
LLM Jupyter Notebook Examples
collection of practical LangChain examples using Jupyter Notebooks. Learn how to build LLM-powered apps with embeddings, vector stores, and document loaders. Contributions welcome!
A notebook-driven exploration of next-gen agentic RAG architectures and intelligent retrieval pipelines.
This repository provides scripts and notebooks to create a Named Entity Recognition (NER) dataset tailored for the electrical engineering domain.
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