Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...

PALO ALTO, Calif.--(BUSINESS WIRE)--TensorOpera, the company providing “Your Generative AI Platform at Scale,” has partnered with Aethir, a distributed cloud infrastructure provider, to accelerate its ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Training a large language model (LLM) is ...

ByteDance's Doubao AI team has open-sourced COMET, a Mixture of Experts (MoE) optimization framework that improves large language model (LLM) training efficiency while reducing costs. Already ...

As the excitement about the immense potential of large language models (LLMs) dies down, now comes the hard work of ironing out the things they don’t do well. The word “hallucination” is the most ...

Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...

As IT-driven businesses increasingly use AI LLMs, the need for secure LLM supply chain increases across development, deployment and distribution.

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

A team of researchers in Japan released Fugaku-LLM, a large language model with enhanced Japanese language capability, using the RIKEN supercomputer Fugaku. A team of researchers in Japan released ...