A notebook to ask GPT-3.5-Turbo questions about a PDF document while keeping track of the previous questions (memory).

A Jupyter python notebook to Execute Zapier Tasks with GPT completion via Langchain

Notebooks with source code for self-study experiment with LLM chain and agent for information retrieval on Nebulous: Fleet Command datasets.

Load local LLMs effortlessly in a Jupyter notebook for testing purposes alongside Langchain or other agents. Contains Oobagooga and KoboldAI versions of the langchain notebooks with examples.

A Jupyter notebook used in building github.com/zackproser/office-oracle

A Python notebook showcasing various usecases of Langchain with LLMs such as OpenAI.

Jupyeter Notebooks that demo Generative AI concepts

Learning different nodejs dependencies notebook, Not Commercial Use .

The project is a jupyter notebook of the method I used to distill an entire physiology book into it's key points of knowledge. The book I chose is "The Muscle and Strength Training Pyramid v2.0" by Eric Helms. This work is part of an ongoing exploration I'm doing into the ability of LLMs (Large Language Models) to effectively distill knowledge.

Practical Jupyter notebooks from Andrew Ng and Harrison Chase's "LangChain for LLM Application Development" course on DeepLearning.AI.

A collection of prompts for use with GPT-4 via ChatGPT, OpenAI API w/ Gradio frontend & notebook

This repository hosts a Jupyter notebook that demonstrates the seamless integration of the Bard API with the LangChain library. By leveraging the capabilities of both platforms, we've crafted a custom Language Learning Model (LLM) that allows users to harness the power of Bard within the LangChain ecosystem.

Colab notebook using llama 2 chat model answering questions as a deep learning expert by focusing on specific books and papers

Jupyter Notebooks of Course of LangChain for LLM Application Development by DeepLearning.AI

Jupyter notebook samples to quickly get started with OpenAI 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.

Notebooks showing off LangChain.js v0.1.0 features.

Explore the cutting-edge world of advanced retriever and generator (RAG) models through the "Advanced-RAG-Experiments" repository. This collection of Jupyter notebooks and experiments is designed to provide a deep dive into the capabilities and nuances of advanced RAG models in the field of natural language processing.

This repository contains all the notebooks where I have written codes while I was exploring vector database and langchain.

A detailed notebook tutorial about LangChain Chains, Memory, Agents, Models, and Prompts.