The Bing Search team shared how it helped make Bing Search and Bing’s Deep Search faster, more accurate and more cost-effective by transitioning to SLM models and the integration of TensorRT-LLM.

The new data challenges claims made by Google and Microsoft Bing that AI-driven clicks are higher quality than organic search.

Microsoft enhances Bing search with new language models, claiming to reduce costs while delivering faster, more accurate results.

Cost-effective: Reducing the costs of hosting and running LLM allows us to continue investing in further innovation and improvements, ensuring Bing remains at the forefront of search technology.

Generative AI applications don’t need bigger memory, but smarter forgetting. When building LLM apps, start by shaping working memory.

Study shows that the discovery through LLMs like ChatGPT converts 9x better then Search Traffic. The start of Answer Engine Optimization (AEO) ...

Background Diabetic retinopathy (DR) is a leading cause of blindness, with an increasing reliance on large language models ...

But thanks to a few innovative and easy-to-use desktop apps, LM Studio and GPT4All, you can bypass both these drawbacks. With the apps, you can run various LLM models on your computer directly. I ...

Learn everything you need to know about Copilot’s Bing AI chatbot (formerly Bing Chat), its features, capabilities, limitations and more.

Boston College Law School’s LLM program combines rigorous education alongside JD students by renowned faculty at a top U.S. university with individualized attention in a friendly and supportive ...

Bing wrote, “to improve efficiency, we trained SLM models (~100x throughput improvement over LLM), which process and understand search queries more precisely.” The benefits.