Remove math research-notes
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Can Kolmogorov–Arnold Networks (KAN) beat MLPs?

Towards AI

So, in today’s blog, we are going to review this brand-new research paper. Note: This is going to be quite math heavy article. Since this is fundamental research, it is important to understand the underlying maths of it. From research to projects and ideas. Published via Towards AI

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OpenChat 7B An Open Source Model That Beats ChatGPT-3.5

Towards AI

maybe); but to note that the 13B version was fine-tuned using LLaMA2–13B while the younger version 7B has been fine-tuned using Mistral-7B (which had better performance than LLaMA-2–7B anyway). 1210 Here [link] meta-math/MetaMathQA… Read the full blog for free on Medium. From research to projects and ideas.

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Microsoft research head Peter Lee on the implications of GPT-4 for medicine

Flipboard

Microsoft research head Peter Lee. ” Lee, head of Microsoft Research, is tasked with assessing the implications of the tool for healthcare. “It ” Lee, head of Microsoft Research, is tasked with assessing the implications of the tool for healthcare. It was very intense.” It was very intense.”

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How to Learn AI

Towards AI

Common mistakes and misconceptions about learning AI/ML Markus Spiske on Unsplash A common misconception of beginners is that they can learn AI/ML from a few tutorials that implement the latest algorithms, so I thought I would share some notes and advice on learning AI. Trying to learn AI from research papers. I also have an M.S.

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Bill Gates: AI will be ‘as good a tutor as any human,’ but payoffs in education will take time

Flipboard

In related news, DreamBox Learning released the results of a new study , conducted in partnership with the South Carolina Department of Education, showing the effectiveness of its DreamBox Math adaptive learning technology. Paradoxically, he said, these emerging AI systems like ChatGPT aren’t yet as strong in math.

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Blending Theory and Utility: The Vision and Impact of CDS’s MaD Group

NYU Center for Data Science

Some people want both, and those people, if attending NYU, join the Math and Data research group at the Center for Data Science (CDS) , which, thanks to the ever-broader applicability of AI, is now working on some of the most important problems currently facing humanity. This doesn’t mean that that’s not important,” said Bruna.

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Characterizing Emergent Phenomena in Large Language Models

Google Research AI blog

Posted by Jason Wei and Yi Tay, Research Scientists, Google Research, Brain Team The field of natural language processing (NLP) has been revolutionized by language models trained on large amounts of text data. Dozens of other emergent prompted tasks are listed in our paper.