Devansh Devansh

Beating Fable 5 with Gemini Flash using better structure This title was summarized by AI from the post below. We beat Anthropic's new Fable 5 with much worse models (13% for Fable vs 17.75% for us using Gemini Flash; likely at a much lower cost per task). Here's why that matters. When it's not shadow-banning users or refusing requests, Fable 5 has caused quite a stir, sweeping both public and private benchmarks across the board.

The Problem: Matrix Multiplication Bottleneck Matrix multiplications (MatMul) are the computational bottleneck in modern Large Language Models. Every transformer layer relies on expensive MatMul operations for self-attention and feed-forward networks.

How to Reduce the costs of Running LLMs This article was originally published here. Sign up for free to never miss out and join 200K weekly readers getting the most important insights in AI delivered to their inbox. Inference Scaling is one of the most hyped ideas in AI in the AI landscape right now.