Make your own GPT, Fine-tuning using open-source H2O LLM Studio and sketch2app

Join the H2O.ai team to learn how to make and fine-tune your own open-source large language model (LLM) using open assistant datasets. Every organization needs to own its data, code, algorithms, and models. Learn how to create your own large language models while maintaining your data integrity at this meetup. We also showcase some of our latest innovations in the generative ai space such as sketch2app - A magical app that takes any sketch and converts it into a fully functional Application code.

Expected audience: Data Scientist, ML Practitioners and enthusiasts interested in building LLMs.

Takeaways for the audience: A learning of how to create your own GPT, working with Generative AI Applications and the current landscape of open source LLMs.

Agenda:

6.00 - 6.30 PM: Registration
6.30 - 7.00 PM: Overview of Generative AI models and applications (h2oGPT and sketch2app) by Shivam Bansal
7.00 - 7.30 PM: Intro to Open Source H2O LLM Studio for Fine Tuning by Sanyam Bhutani
7.30 - 8.00 PM: Networking and Question Answers

Speakers:

Shivam Bansal, Director of Customer Data Science, Kaggle Grandmaster, H2O.ai
Sanyam Bhutani, Senior Data Scientist, Kaggle Grandmaster, H2O.ai

Venue:
TBD

Resources:

H2O LLM Studio (Open Source): https://github.com/h2oai/h2o-llmstudio
H2O GPT: https://github.com/h2oai/h2ogpt
https://h2o.ai/blog/effortless-fine-tuning-of-large-language-models-with-open-source-h2o-llm-studio/
https://h2o.ai/blog/building-the-worlds-best-open-source-large-language-model-h2o-ais-journey