Practical course about Large Language Models.
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Updated
May 6, 2024 - Jupyter Notebook
Practical course about Large Language Models.
Sample code and notebooks for Generative AI on Google Cloud, including Gemini
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
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 python notebook to Execute Zapier Tasks with GPT completion via Langchain
A set of jupyter notebooks
Concepts and examples on using and training LLMs
A collection of prompts for use with GPT-4 via ChatGPT, OpenAI API w/ Gradio frontend & notebook
A collection of Python notebooks with tutorials for the LangChain Library.
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.
A sample Streamlit web application for summarizing text using LangChain and OpenAI.
AI-powered Python components and notebooks for leveraging Large Language Models from OpenAI and Hugging Face.
A sample Streamlit web application for search queries using LangChain and SerpApi.
Practical Jupyter notebooks from Andrew Ng and Harrison Chase's "LangChain for LLM Application Development" course on DeepLearning.AI.
Notebooks for ML Tasks w/ Scikit and LLMs using Cohere, HuggingFace, LangChain, and OpenAI
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