transformers had made a major change on kv cache implementation since version 4.36.0. Please use ppl_legacy if you are using transformers < 4.36.0 ...

Large language model (LLM) applications often reuse previously processed context, such as chat history and documents, which in troduces significant redundant computation. Existing LLM serving systems ...

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...

When choosing a large language model (LLM) for use in a particular task, one of the first things that people often look at is the model's parameter count. A vendor might offer several different ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention.

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

At SlatorCon Silicon Valley 2025, Cohere’s Multilingual Team Lead Kelly Marchisio delivered one of the most well-received presentations of the day: an accessible, behind-the-scenes look at how to ...

NVIDIA Dynamo introduces KV Cache offloading to address memory bottlenecks in AI inference, enhancing efficiency and reducing costs for large language models. NVIDIA has unveiled its latest solution, ...