Browsing: large language models

Researchers at UC San Diego have developed a novel method to more precisely steer and modify large language models, potentially leading to safer and more reliable AI applications.

Analysis of Harvard Business Review’s top 10 uses of AI list, covering how people are utilizing generative AI and large language models

The AI community is increasingly using ‘vibes’ to assess generative AI and large language models, rather than conventional quantitative metrics. This trend is raising concerns about the objectivity and reliability of AI evaluations.

DeepSeek, a Chinese AI firm, has made significant strides in large language models (LLMs) by focusing on efficiency and cost savings, challenging established players like OpenAI.

Stanford University and Google DeepMind introduce SWiRL, a technique to improve large language models’ multi-step reasoning and tool use capabilities

Microsoft Research develops new AI model that can function efficiently on regular CPUs, reducing the need for powerful GPUs and potentially making AI more accessible and energy-efficient.

Mistral AI has launched Mistral Small 3.1, an innovative AI model that packs significant power into a smaller, more accessible package, challenging established players in the field.

A new autonomous AI agent called Manus, developed by Chinese company Monica, is making a splash in the tech world, raising questions about the future of AI.

This article explores the potential for generative AI to steer users towards various addictions, including substance and non-substance dependencies. It examines the mechanisms by which AI could inadvertently or intentionally promote addictive behaviors, along with strategies for users to protect themselves.

A recent survey reveals that a majority of Americans have experimented with AI models such as ChatGPT.