Best Practices for Fine-Tuning and Prompt Engineering LLMs

While some of the most forward-thinking companies in the world are already using LLMs, few organizations have the bandwidth, compute, or money to train foundational models in-house. It’s become much more common to either fine-tune or prompt engineer existing LLMs for unique business needs. In this guide, you’ll learn:

• How to choose between fine-tuning and prompting
• Popular fine-tuning strategies and their trade-offs
• Tasks where fine-tuning excels vs. ones where it doesn’t
• Tips and current best practices for prompt engineering
• And a whole lot more!

Weights & Biases enables the collaboration required to produce these complex, expensive models and push them to production. We’re happy to showcase a few things we’ve learned along the way. The whitepaper is free and will be emailed to you via the form on the right.