Virtual Workshop: Fine-tune Your Own LLMs that Rival GPT-4 

We recently launched LoRA Land (predibase.com/..., a collection of 25+ fine-tuned Mistral-7b models that outperform GPT4 on a set of task-specific applications. Now you can build your own LoRA Land with Predibase - for free!
In this hands-on virtual workshop, we provide an intro to fine-tuning including use cases, best practices, and techniques for efficient fine-tuning with LoRA. You'll learn how to to use Predibase with $25 in free credits and open-source LoRAX to efficiently fine-tune your own set of small task-specific models that rival GPT-4 for a series of customer service use cases. Then we show you how to dynamically serve many fine-tuned adapters in real time-all on a single GPU.
Workshop Agenda:
• Intro to efficient fine-tuning techniques, best practices, and use cases
• How we fine-tuned 25+ models that rival GPT4 for less than $8 each
• Hands-on Session: Fine-tune multiple fine-tuned LLMs and serve them using Predibase
By the end of the workshop, you will be able to use this framework to cost-effectively build your own production LLM applications.
Resources to participate in the workshop:
• $25 in free Predibase credits to fine-tune and serve the LLMs: pbase.ai/getst...
• Download the workshop notebooks: pbase.ai/3QkjT4T
• Download the slides: pbase.ai/4dmn1Hm