High-quality output at low latency is a critical requirement when using large language models (LLMs), especially in ...

A new research paper from Apple details a technique that speeds up large language model responses, while preserving output quality.

In effect, reasoning models are LLMs that show their work as they reply to user prompts, just as a student would on a math ...

Speculative decoding has emerged as a potential solution for speeding up inferences using large language models (LLMs).