How techniques like model pruning, quantization and knowledge distillation can optimize LLMs for faster, cheaper predictions.

With AMD OLMo, AMD appears to target data centers and smaller organizations. Data centers running AMD Instinct GPUs are ...

From prompt injections to model theft, OWASP has identified the most prevalent and impactful vulnerabilities found in AI applications based on large language models (LLMs). The Open Worldwide ...

With over 1 billion parameters trained using trillions of tokens on a cluster of AMD’s Instinct GPUs, OLMo aims to challenge ...

As large language models (LLM) continue to advance at a dizzying pace, many business leaders are still grappling with how to put this technology to work. On one hand, they’re looking for areas ...

Consider the technical factors of an open source LLM, such as model size, compute power, and storage capacity. Make sure that your hardware can handle the demands of the LLM you choose.

There has traditionally been an unspoken rule for VCs to not back competitors. But now investors are backing competing LLM ...

A new study from a team at Apple answers that question with a resounding "no." There is a well-established way of testing LLM reasoning skills ... variance per model, with some accuracy gaps ...

Welcome to the Q3 2024 Datadog earnings conference call. [Operator instructions] Please be advised that today's conference is ...

New study reveals that large language models outperform physicians in diagnostic accuracy but require strategic integration ...

Tarjama, the leading Arabic language technology provider in the MENA region, proudly announces the launch of Pronoia, an advanced large language model (LLM) specifically designed for Arabic enterprise ...