You're building a solution with large-language models and want to optimize performance on your data. So you need to fine-tune the model, right? Probably not.
Welcome to Episode 35 of Prolego's Generative AI Series.
🔍 What’s Inside This Episode?
- In this episode, I discuss the concept of fine-tuning in the context of LLM optimization and we explain why you should avoid rushing into fine-tuning.
- We also discuss the limitations of fine-tuning, its potential pitfalls, and recommend other optimization techniques that we outline in our LLM Optimization Playbook.
Enjoy!