How LLMs Predict the Next Token

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in ...

TMCnet

Inception Launches Mercury 2, the Fastest Reasoning LLM - 5x Faster Than Leading Speed-Optimized LLMs, with Dramatically Lower Inference Cost

Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of ...

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique ...

13dOpinion

Are LLMs Really Intelligent?

Contrast that with how LLMs are currently the dominant form of AI people think of when they hear the term and how they ...

Psychology Today

In the complexity of human cognition, the hippocampus stands as a central player, orchestrating more than just the storage of memories. It is a master of inference—a cognitive ability that allows us ...

Geeky Gadgets

Meta’s Vision-Language Shift VL-JEPA Beats Bulky LLMs

What if the AI systems we rely on today, those massive, resource-hungry large language models (LLMs)—were on the brink of being completely outclassed? Better Stack walks through how Meta’s VL-JEPA, a ...

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Multi-token prediction technique triples LLM inference speed without auxiliary draft models

Inception Launches Mercury 2, the Fastest Reasoning LLM - 5x Faster Than Leading Speed-Optimized LLMs, with Dramatically Lower Inference Cost

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Are LLMs Really Intelligent?

Can LLMs Think Like Us?

Meta’s Vision-Language Shift VL-JEPA Beats Bulky LLMs