The OpenAI rival will focus on strong infrastructure, multimodality and human-AI collaboration (as opposed to purely agentic systems). Read More
The jaw-dropping decrease is a credit not only to Databricks, but PS&E’s ability to reduce ML compute to near-infinitesimal amounts. Read More
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Two years after ChatGPT hit the scene, there are numerous large language models (LLMs), and nearly all remain ripe for jailbreaks — specific prompts and other workarounds that trick them into producing harmful content. Model developers have yet to come up with an effective defense — and, truthfully, they may never be able to deflect such
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Typically, developers focus on reducing inference time — the period between when AI receives a prompt and provides an answer — to get at faster insights. But when it comes to adversarial robustness, OpenAI researchers say: Not so fast. They propose that increasing the amount of time a model has to “think” — inference time compute
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A new AI agent has emerged from the parent company of TikTok to take control of your computer and perform complex workflows. Much like Anthropic’s Computer Use, ByteDance’s new UI-TARS understands graphical user interfaces (GUIs), applies reasoning and takes autonomous, step-by-step action. Trained on roughly 50B tokens and offered in 7B and 72B parameter versions, the
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Hallucinations, or factually inaccurate responses, continue to plague large language models (LLMs). Models falter particularly when they are given more complex tasks and when users are looking for specific and highly detailed responses. It’s a challenge data scientists have struggled to overcome, and now, researchers from Google DeepMind say they have come a step closer to
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More MRI images are understandably complex and data-heavy. Because of this, developers training large language models (LLMs) for MRI analysis have had to slice captured images into 2D. But this results in just an approximation of the original image, thus limiting the model’s ability to analyze intricate anatomical structures. This creates challenges in complex cases involving brain
Cohere’s Command R7B uses RAG, features a context length of 128K, supports 23 languages and outperforms Gemma, Llama and Ministral.Read More
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Very quickly, the topic of AI agents has moved from ambiguous concepts to reality. Enterprises will soon be able to deploy fleets of AI workers to automate and supplement — and yes, in some cases supplant — human talent. “Autonomous agents are one of the hottest topics and perhaps one of the most hyped topics in
Claude uses a computer essentially as a human does. People are using it for coding, researching, ‘drudge work’ and even to hail Uber rides.Read More