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 ...

Additionally, client models trained on the edge device can be merged into a global model on the server, preserving data privacy. Results: Natural Language Processing (NLP) technologies underpinning ...

Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI). However, as the user base expands and the frequency of usage increases, deploying these ...

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 ...

NVIDIA introduces NVFP4 KV cache, optimizing inference by reducing memory footprint and compute cost, enhancing performance on Blackwell GPUs with minimal accuracy loss. In a significant development ...

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 ...

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 ...