Build custom LLMs in days

Deliver better results using your data

2024 has been a breakout year for generative AI, with unprecedented experimentation using large language models (LLMs). However, organizations are finding their GenAI applications lacking because they’re using off-the-shelf models that don’t have a deep understanding of their business context or enterprise data.

Imagine if you could fine-tune or create your own LLM — customized completely to your specific business context and enterprise data to meet your specific needs.

Read this guide to learn about fine-tuning and pretraining. It will cover:

• Motivation: Why and when should you build a custom GenAI model?
• Techniques: How can you fine-tune or train your own custom models? What techniques and gotchas should you know for data preparation, training and evaluation?
• Databricks: How do you fine-tune or build custom models using Databricks Mosaic AI?