As quantum-inspired methods enter the AI arena, companies like Dynex are developing alternatives to mainstream LLMs. What ...

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

Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes ...

To foster the development of LLMs that are statistically proficient and genuinely useful partners it is time to complement ...

While there are ways to bypass bias through Reinforcement Learning from Human Feedback (RLHF) and fine-tuning, the enterprise ...

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

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

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

Anthropic has introduced new research tools designed to provide a rare glimpse into the hidden reasoning processes of ...

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

These days Large Language Models (LLMs) are nothing short of revolutionary, though they have been around since 1996 (ELIZA, ...

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 ...