Breakthrough in Multi-Token Prediction: How AI Models Now Generate Text 5x Faster

AI Speed Revolution: How Language Models Can Predict Multiple Words at Once Introduction: The Efficiency Dilemma of Autoregressive Models In the field of artificial intelligence, autoregressive language models like GPT have become core tools for content generation. These models generate text by predicting words one at a time, much like playing “Pictionary” where you can only draw one stroke at a time. However, as models grow larger, this serial generation approach reveals significant drawbacks: Slow generation speed: Each word must wait for the previous one to complete Wasted computational resources: The entire model runs for each single word prediction Long-text …