Testing Open Source and Offline GPT with H2O.AI

Explore the world of offline and open-source GPT models in this comprehensive video tutorial. Dive into the h2ogpt project, examining its repository and capabilities. Learn about foundation models like Llama and Falcon, and understand the process of fine-tuning large language models. Compare the performance of fine-tuned h2oGPT against ChatGPT, and discover how to ground GPT with documents for enhanced accuracy. Gain insights into using LLM Studio and witness practical demonstrations, including asking GPT about the fastest rollercoaster. Follow along as the instructor guides you through local h2oGPT setup and showcases its potential applications in various scenarios.

Intro
Why LLMS?
h2oGPT Repo
Foundation Models Llama & Falcon
Fine Tuning LLMs
h2oGPT local
Fine Tuned h2oGPT vs chatGPT
Ask GPT - Fastest Rollercoaster?
Grounding GPT with Documents
Quick look at LLM Studio