Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

Until now, AI services based on Large Language Models (LLMs) have mostly relied on expensive data center GPUs. This has ...

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

Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

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With a self-hosted LLM, that loop happens locally. The model is downloaded to your machine, loaded into memory, and runs directly on your CPU or GPU. So you’re not dependent on an internet connection ...

One of the most energetic conversations around AI has been what I’ll call “AI hype meets AI reality.” Tools such as Semush One and its Enterprise AIO tool came onto the market and offered something we ...

Contrary to long-held beliefs that attacking or contaminating large language models (LLMs) requires enormous volumes of malicious data, new research from AI startup Anthropic, conducted in ...

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...

ASHBURN, VA - MAY 9: People walk through the hallways at Equinix Data Center in Ashburn, Virginia, on May 9, 2024. (Amanda Andrade-Rhoades for The Washington Post via Getty Images) The global AI craze ...

Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a recent blog post, Anthropic explains that as few as "250 malicious ...