No Free LL-unch

This video covers some of the emerging tools and platforms for tuning and comparative testing of Large Language Models, including Vellum.ai, Gradio, Lambda Labs and Paperspace.

“No Free Lunch” is a reference to a classic paper by computer scientist and statistician, David Wolpert, who used that phrase in a Theorem to indicate that no algorithm will be universally superior for all types of tasks – that there will be performance trade-offs when choosing between appropriate model options (which certainly applies to LLMs), hence the idea of “No Free LL-unch.”

The video also covers 6 criteria on which LLMs are frequently compared.