Small language models do not require vast amounts of expensive computational resources and can be trained on business data ...

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI ...

A small team of AI researchers from Carnegie Mellon University, Stanford University, Harvard University and Princeton ...

Learn More It is tough to remove bias, and in some cases, outright censorship, in large language models (LLMs). One such model, DeepSeek from China, alarmed politicians and some business leaders about ...

The result is DolphinGemma, an AI model built using the same technology that runs Google’s Gemini systems. DolphinGemma is ...

DolphinGemma, built on the same technology behind Google’s Gemini models, will tap into the Wild Dolphin Project’s (WDP) ...

The accuracy of citations has a lot to do with whether the AI model is reasoning about information at the sentence level rather than paragraph or document level. Paragraph-level and document-level ...

Larger models can pull off a wider variety of feats, but the reduced footprint of smaller models makes them attractive tools.

Now this is the sort of application of AI that really intrigues me. Researchers have developed DolphinGemma, the first large ...

LLMs are great – until they start guessing. Plug your PPC data directly into generative AI for grounded, strategic campaign ...

Swapping large language models (LLMs) is supposed to be easy, isn’t it? After all, if they all speak “natural language,” switching from GPT-4o to Claude or Gemini should be as simple as changing an ...

Running large language models on your desktop depends as much on your accuracy needs as your GPU, and the key to performance ...