Is Meta's Multi-Token Prediction Model A Game-Changer? — Jason Michael Perry

Meta just released a multi-token prediction model that could cut down inference, the process where a model responds to a prompt, speed by 3x.

Existing LLMs work like autocomplete, predicting the next token or word in a sequence. This novel approach looks to predict 2-4 words in a sequence all at once, allowing for faster response times.

Meta released the model under a research license using Hugging Face, continuing to solidify its place as the open-source AI leader. I keep saying it, but who would have thought Meta would be blazing new paths?

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