Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...

The new LLM, a rarity among legal tech companies, is intended to offer better and faster performance on contract tasks ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

The Miami-based AI startup Subquadratic came out of stealth mode last month with a huge claim. It announced that it had ...

Medical large language models (LLMs) are increasingly being used in clinical settings. For example, AI is helping doctors in ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

But some of those data owners, also known as content creators or IP holders, are now fighting back. They are doing this by using tools known as “tarpits.” Their aim? To poison the chatbot’s underlying ...

Researchers from Micron Technology and Argonne National Laboratory have released “Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Principles”. “The transition from ...

Abstract: The mainstreamTransformer-based Large Language Models (LLMs) have demonstrated to exhibit remarkable performance in various Natural Language Processing (NLP) tasks. However, high ...

Large language models are not just getting smarter, they’re becoming more specialized. Turn to these models for deep knowledge in medicine, law, finance, and other areas of expertise. In the beginning ...

In order for a chatbot to become more intelligent, and thus more useful to the end-user, it needs to assimilate data continuously. This process is known as “training.” The problem is that many AI ...

As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained ...