2min chapter

Gradient Dissent: Conversations on AI cover image

Scaling LLMs and Accelerating Adoption with Aidan Gomez at Cohere

Gradient Dissent: Conversations on AI

CHAPTER

The Need for a Scaling Breakthrough for Large Language Models

I think we are approaching the need for another scaling breakthrough. It definitely feels like it's coming up when we're starting to hit the limits of these models. Once your model performs as well as an average human, it's no longer valuable to collect data from average humans because they don't add to the model's performance. You need to start going to experts in particular fields or outliers in terms of performance at particular things.

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