Introducing ChatGPT Team

In the dynamic arena of artificial intelligence, the intersection of visual and linguistic data through large vision-language models (LVLMs) is a pivotal development. LVLMs have revolutionized how machines interpret and understand the world, mirroring human-like perception. Their applications span a vast array of fields, including but not limited to sophisticated image recognition systems, advanced natural…

In large language models (LLMs), the challenge of keeping information up-to-date is significant. As knowledge evolves, these models must adapt to include the latest information. However, updating LLMs traditionally involves retraining, which is resource-intensive. An alternative approach, model editing, offers a way to update the knowledge within these models more efficiently. This approach has garnered…

Anthropic raised $65B at a $965B post-money valuation and shipped Claude Opus 4.8. NVIDIA used GTC Taipei to open Cosmos 3, ramp Vera Rubin into production, and put a 1-petaflop AI box on developer desktops. Google shuts Gemini 2.0 Flash down today. California’s SB 867, which would ban AI companion chatbots in children’s toys, cleared…

BAAI introduces BGE M3-Embedding with the help of researchers from the University of Science and Technology of China. The M3 refers to three novel properties of text embedding- Multi-Lingual, Multi-Functionality, and Multi-Granularity. It identifies the primary challenges in the existing embedding models, like being unable to support multiple languages, restrictions in retrieval functionalities, and difficulty…

Language models (LMs), such as GPT-4, are at the forefront of natural language processing, offering capabilities that range from crafting complex prose to solving intricate computational problems. Despite their advanced functionalities, these models need fixing, sometimes yielding inaccurate or conflicting outputs. The challenge lies in enhancing their precision and versatility, particularly in complex, multi-faceted tasks….

AI and chip stocks shed roughly $1.3 trillion on Friday, the semiconductor sector’s worst day since 2020, after a hot jobs report spiked interest-rate fears and Broadcom’s outlook rattled the chip trade. The sharpest people in finance flatly disagree on what it means: the bubble finally cracking, or profit-taking after a euphoric run. Here is…