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China unveils ChatGPT-like medical chatbot service
Hong Kong-based Centre for Artificial Intelligence and Robotics (CAIR) under the Chinese…
Tips and Tools for Citing Sources – Practical Ed Tech
Last week I didn’t have time to publish here because I was…
Gravis Formed through Combination of Six Industry Leaders to Create North America’s Largest Provider of Engineered Bulk Transportation Packaging Solutions
Gravis is thrilled to launch its new name and brand identity following…
Star Wars: Battlefront Classic Collection gets swept up in more controversy as Aspyr may have used uncredited work from modders
Aspyr Media may have used a modder's work and not credited the…
Health minister joins life sciences innovation event
Health minister Andrew Stephenson CBE MP joined the first life sciences event…
What's Trending in Artificial Intelligence #AIUPDATES
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DeepMind matrix multiplications on NVIDIA V100, Tesla T4, and a look at FBHHRBNRSSSHK — which is not me typing random letters! Image by Ivan Diaz on UnsplashIn the previous post, we learned the maths behind the Strassen algorithm and wrote a Python code to run-test it against different matrices sizes. Moreover, we’ve learned that…
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Powerful machine-learning models are being used to help people tackle tough problems such as identifying disease in medical images or detecting road obstacles for autonomous vehicles. But machine-learning models can make mistakes, so in high-stakes settings it’s critical that humans know when to trust a model’s predictions.
Uncertainty quantification is one tool that improves a…
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Figure 1: Search volumes for “large language models”
Large language models (LLMs) have generated much hype in recent months (see Figure 1). The demand has led to the ongoing development of websites and solutions that leverage language models. ChatGPT set the record for the fastest-growing user base in January 2023, proving that language models are…