A collection of sample programs, notebooks, and tools which highlight the power of the MAX Platform

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.

Perform RAG (Retrieval-Augmented Generation) from your PDFs using this Colab notebook! Powered by Llama 2

Qualitative Semester Feedback; using open-source LLMs.

This notebook is used to teach LLMs to provide answers based on information from PDF documents.

Fine-Tune Your Own Llama 2 Model LOCALLY in a Colab Notebook

This notebook contains the code script I used to fine tune a Llama-2 LLM to create a python codeium generator using a custom build dataset

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