Speculative decoding accelerates large language model generation by allowing multiple tokens to be drafted swiftly by a lightweight model before being verified by a larger, more powerful one. This ...

AI that once needed expensive data center GPUs can run on common devices. A system can speed up processing, and makes AI more ...

In a blog post today, Apple engineers have shared new details on a collaboration with NVIDIA to implement faster text generation performance with large language models. Apple published and open ...

In the rapidly evolving world of technology and digital communication, a new method known as speculative decoding is enhancing the way we interact with machines. This technique is making a notable ...

Have you ever been frustrated by how long it takes for AI systems to generate responses, especially when you’re relying on them for real-time tasks? As large language models (LLMs) become integral to ...

Apple's latest machine learning research could make creating models for Apple Intelligence faster, by coming up with a technique to almost triple the rate of generating tokens when using Nvidia GPUs.

Until now, AI services based on Large Language Models (LLMs) have mostly relied on expensive data center GPUs. This has ...

“LLM decoding is bottlenecked for large batches and long contexts by loading the key-value (KV) cache from high-bandwidth memory, which inflates per-token latency, while the sequential nature of ...