How to Train or Fine-Tune a Custom LLM on Your Data with Databricks (repeat)

This session is repeated.

This session will provide a high-level overview of training and fine-tuning custom LLMs on Databricks. You'll learn how to use the Fine-Tuning and Pre-Training APIs to train and fine-tune LLMs on your own data and streamline your machine learning workflows. This session will cover:

• An introduction to Fine-Tuning and Pre-training APIs and their capabilities
• A step-by-step guide to training and fine-tuning custom LLMs
• Best practices for using FT APIs to achieve optimal results
• Real-world examples and use cases of successful LLM training and fine-tuning

Spenser Marshall, Chief Data Officer, from M Science will demonstrate RAP (Research, Author, Publish). RAP leverages fine-tuned LLMs to generate written research from data, with a human in the loop.