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 ...

This figure shows an overview of SPECTRA and compares its functionality with other training-free state-of-the-art approaches across a range of applications. SPECTRA comprises two main modules, namely ...

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 ...

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...

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.

In a bid to improve accountability and transparency in AI development, OpenAI has released a preliminary draft of “Model Spec.” This first-of-its-kind document outlines the principles guiding model ...

Shakti P. Singh, Principal Engineer at Intuit and former OCI model inference lead, specializing in scalable AI systems and LLM inference. Generative models are rapidly making inroads into enterprise ...

In a new paper titled Principled Coarse-Grained Acceptance for Speculative Decoding in Speech, Apple researchers detail an interesting approach to generating speech from text. While there are ...