Recently, we released an integration between W&B Models and the Cohere fine-tuning API. This collaboration makes fine-tuning Cohere's family of Command R large language models (LLMs) more straightforward and boosts your accuracy without the usual headaches. In this Webinar, we dive deep into how to use the integration to customize Command R and Command R+ using your own data for specific use cases.
What to expect
We show you how to optimize Command R fine-tuning using the integration between Cohere and Weights & Biases.
What you'll learn
Establish performance baselines for the base model using W&B Weave evaluations
Track experiments, model artifacts, and lineage in W&B Models with just a single line of code in your Cohere API call
Optimize your fine-tuning jobs to achieve desired performance metrics without overfitting
