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mr-ai
searching PlanetScale…
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7 ms
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31.
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GPT4 Has 1T Parameters
(the-decoder.com)
32 points
by
mr-ai
4y ago
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15 comments
32.
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Open-Source Competitor for ChatGPT
(the-decoder.com)
1 points
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mr-ai
4y ago
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0 comments
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Learning laws of physics by RL with units constraints
(arxiv.org)
1 points
by
mr-ai
4y ago
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0 comments
34.
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Overview of Advancements in Graph Neural Networks
(assemblyai.com)
3 points
by
mr-ai
4y ago
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0 comments
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AI method for faster and more efficient hash functions
(news.mit.edu)
2 points
by
mr-ai
4y ago
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1 comments
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Content moderation and fraud detection – patterns in industry
(eugeneyan.com)
51 points
by
mr-ai
4y ago
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7 comments
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Sweden’s National Library: AI to Parse Centuries of Data
(blogs.nvidia.com)
2 points
by
mr-ai
4y ago
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0 comments
38.
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Image-and-Language Understanding from Pixels Only
(arxiv.org)
1 points
by
mr-ai
4y ago
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0 comments
39.
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How Not to Waste a Senior Hire
(thenewstack.io)
2 points
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mr-ai
4y ago
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0 comments
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How ChatGPT Works
(assemblyai.com)
2 points
by
mr-ai
4y ago
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0 comments
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Universal Document Processing (Paper)
(arxiv.org)
3 points
by
mr-ai
4y ago
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0 comments
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Paper – Educational Opportunities and Challenges of AI Code Generation
(arxiv.org)
1 points
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mr-ai
4y ago
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0 comments
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Hinton proposes FF – an alternative to Backprop
(twitter.com)
20 points
by
mr-ai
4y ago
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1 comments
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SAP Builds a Low-Code Platform on K8s and Cloud
(thenewstack.io)
3 points
by
mr-ai
4y ago
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0 comments
45.
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Diffusion Models for Protein Design
(technologyreview.com)
1 points
by
mr-ai
4y ago
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0 comments
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Nvidia – learning representations of positions in a 3D scene [pdf]
(nvlabs.github.io)
2 points
by
mr-ai
4y ago
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0 comments
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Nonparametric Masked Language Modeling
(arxiv.org)
4 points
by
mr-ai
4y ago
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0 comments
48.
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Spotify Uses Semantic Search for Podcasts
(medium.com)
2 points
by
mr-ai
4y ago
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0 comments
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Text-to-Image: Diffusion, Text Conditioning, Guidance, Latent Space
(eugeneyan.com)
3 points
by
mr-ai
4y ago
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0 comments
50.
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The Flywheel Effect of Kubernetes APIs
(thenewstack.io)
1 points
by
mr-ai
4y ago
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0 comments
51.
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by
mr-ai
4y ago
Hi, I mentioned "distinct" metrics. Just like the ones you mention. In order to apply AlphaTensor to sparse matrices, one would only need to change the dataset of randomly generated synthetic data (to contain only examples of spar
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AlphaTensor explained – Motivation, method, and assessment
(assemblyai.com)
5 points
by
mr-ai
4y ago
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3 comments
53.
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by
mr-ai
4y ago
AlphaTensor (from DeepMind) discovers mathematical algorithms with Reinforcement Learning. While much of the attention has been on AlphaTensor's results, its successes more truly lie in the novel approach it uses rather than the result
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Snowflake new dev features (Python – SQL)
(thenewstack.io)
2 points
by
mr-ai
4y ago
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0 comments
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Image generation – PFGM vs. Diffusion models?
(assemblyai.com)
6 points
by
mr-ai
4y ago
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0 comments
56.
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by
mr-ai
4y ago
Interesting article. Classical ideas from physics and dynamical systems have been inspiring a number of successful new models in AI lately. I wonder, what is coming next