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Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. EVENT Register now for Research Forum on September 3 Discover what’s next in

Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC users. Large language models are driving some of the

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Tech companies are being urged to create better AI tools for reducing teachers’ workloads, as ministers announced they would give AI models special access to the Department for Education’s (DfE) bank of resources.[1] Meta Shuttering Augmented Reality Studio Amid Pivot

I would also like the ability to upload photos for identifying locations, etc. submitted by /u/johnsinternetsales [link] [comments]

I’ve noticed that every AI model I’ve tried genuinely doesn’t know how to count. Ask them to write a 20 word paragraph, and they’ll give you 25. Ask them how many R’s are in the word “Strawberry” and they’ll say

Aiming at making the process faster and smarter, NVIDIA on Wednesday released the NIM Agent Blueprint for generative AI-based virtual screening. This innovative approach will reduce the time and cost of developing life-saving drugs, enabling quicker access to critical treatments

The initial wave of generative AI was driven by its use in internet services that showed incredible new possibilities with tools that could help people write, research and imagine faster than ever. The second wave of generative AI is now

Anthropic publishes the ‘system prompts’ that make Claude tick.[1] AWS Enhancing Information Retrieval in Large Language Models: A Data-Centric Approach Using Metadata, Synthetic QAs, and Meta Knowledge Summaries for Improved Accuracy and Relevancy.[2] Viral video shows humanoid robots at Beijing