Galileo Launches New Tool to Explain AI Large Model Hallucination Phenomenon

Data to be translated: San Francisco-based AI startup Galileo has launched a new tool to help users better understand and interpret the phenomenon of hallucinations in large AI models. Galileo Studio offers real-time monitoring capabilities, allowing users to assess model inputs and outputs, and provides new metrics and safeguards to optimize the performance of LLMs. Galileo has introduced a ground truth metric to distinguish between hallucinations and the authenticity of model outputs, ensuring that model outputs do not deviate from the correct path. These new features aid developers in optimizing models and ensuring the accuracy and compliance of outputs.

Beijing Introduces New Policies to Promote the Medical Device Industry: Up to 30 Million Yuan Support for Large Model Development

Six departments in Beijing jointly issued measures to promote the upgrading of the medical device industry through data circulation and AI large models. Key initiatives include building high-quality medical data sets and improving data circulation policies to promote safe and compliant data applications, meeting the needs of enterprises and research institutions.

Tsinghua University's New Discovery: AI Large Models Are Not Just About Size, but Also Density

Tsinghua University published a study in "Nature Machine Intelligence", introducing the new concept of "ability density", challenging traditional AI evaluation standards. The research emphasizes that attention should not only be paid to the number of model parameters, but also to the level of intelligence within each parameter, questioning the scale rule that larger models are necessarily more capable.

LMArena Releases Latest Large Model Rankings: Claude, GPT-5, and Zhipu GLM-4.6 Tie for First

The latest AI programming model rankings from LMArena show that Claude from Anthropic, GPT-5 from OpenAI, and Zhipu GLM-4.6 are tied for first place globally. These models, designed specifically for programming, can significantly improve the efficiency of code writing, debugging, and optimization, driving advancements in software development.

Tongyi Models of Alibaba Cloud Are First Large-Scale Empowered for Double 11, Daily Translation Call Volume Exceeds 1.4 Billion Times

Alibaba Cloud's Tongyi series AI large models were first applied on a large scale in the e-commerce field during "Double 11", comprehensively optimizing consumer experience, business management, and traffic distribution for Taobao and Tmall. Among them, translation models such as Tongyi Qwen-MT played a core role in cross-language transactions.

AI Large Model Investment Competition Concludes! Alibaba Tongyi Qianwen Qwen3-Max Wins with a 22.32% Return Rate

The first AI large model investment competition organized by the US Nof1 institution concluded, with Alibaba's Tongyi Qianwen Qwen3-Max winning with a 22.32% return rate, demonstrating its leading capabilities in quantitative trading. The competition provided each of the six top models with $10,000 in initial funds to compete in a real trading environment on the Hyperliquid platform.