AI model Performance And Acceleration: Part 1

What happened

The amazing thing about LLMs is that by modelling probability, they capture something of human thought processes, giving them tremendous utility in diverse applications. Time to First Token, Inter-Token Latency, and how they apply to the two main stages of LLM (the kind of AI system trained on text to produce text) compute.

The post LLM Performance And Acceleration: Part 1 appeared first on Semiconductor Engineering . If you’ve seen Google’s “AI Overview” or Word predicting your next word, that’s LLMs at work.

They’re built on transformer networks, which use attention to focus on the most relevant parts of your input – similar to how you might watch a football match and instinctively follow the player with the ball rather than the other 21 players on the pitch. The challenge is that all this requires heavy computation.

Key facts

• The challenge is that all this — requires: heavy computation