Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...

True or chatty: pick one. A new training method lets users tell AI chatbots exactly how 'factual' to be, turning accuracy into a dial you can crank up or down. A new research collaboration between the ...

Phi-3-vision, a 4.2 billion parameter model, can answer questions about images or charts. Phi-3-vision, a 4.2 billion parameter model, can answer questions about images or charts. is a reporter who ...

As great as generative AI looks, researchers at Harvard, MIT, the University of Chicago, and Cornell concluded that LLMs are not as reliable as we believe. Even a big company like Nintendo did not ...

Large language models (LLMs) are all the rage in the generative AI world these days, with the truly large ones like GPT, LLaMA, and others using tens or even hundreds of billions of parameters to ...

Is your AI model secretly poisoned? 3 warning signs ...

While Large Language Models (LLMs) like GPT-3 and GPT-4 have quickly become synonymous with AI, LLM mass deployments in both training and inference applications have, to date, been predominately cloud ...

Sarvam AI launches Sarvam Audio, an ASR model supporting 22 Indian languages. The model handles code-mixing and accents for ...