> Note that model params were inferred by name For all models that have safetensors weights (i.e. more and more) we expose number of params (and types) in the API and on model pages!
DATA
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AI and Data Analytics Transform Formula One Racing
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How AI, Data And Analytics Are Transforming Formula One In 2023 Right now, as is the case in every industry, #artificialintelligence (#AI) is driving a wave of disruption, #transforming car design, race #performance and fan #experience alike. https://
linkedin.com/pulse/how-arti
ficial-intelligence-data-analytics-formula-one-bernard-marr
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5G Technology and IoT Driving Sustainable Development Goals
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#5G technology isn't just a speed upgrade, it could be the *key* to unlocking sustainable development progress. Imagine the possibilities of *mass #IoT adoption*. Now imagine the *power of data* that could be harnessed to identify societal & environmental challenges #SDGs
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Android in the Wild: Large-Scale Dataset for Device Control
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Android in the Wild: A Large-Scale Dataset for Android Device Control paper page: https://
huggingface.co/papers/2307.10
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… There is a growing interest in device-control systems that can interpret human natural language instructions and execute them on a digital device by directly controlling -
DialogStudio: Unified Diverse Dataset for Conversational AI
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DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI paper page: https://
huggingface.co/papers/2307.10
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… Despite advancements in conversational AI, language models encounter challenges to handle diverse conversational tasks, and existing dialogue -
Fair Model Comparison in PDE Benchmark Studies
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Agree that it is problem-dependent. But once we fix a problem, we should tune all the models sufficiently to ensure a fair comparison. Right now PDEbench and PDEarena give contradicting results on same PDEs
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Apple GPT with personal data will win consumer AI
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Apple GPT coming to your iPhone next year. Imagine a language model that has access to years worth of your iMessage exchanges, emails, photos, and health data. This is why Apple, while late to the game, will win consumer AI.
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Databricks Workflows Enhanced Monitoring and Observability Features
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We're introducing some great new features in #DatabricksWorkflows! Enjoy enhanced monitoring and observability with additions like a new Jobs Run dashboard, a matrix view, time limit alerts, and more! Get the full rundown: https://
dbricks.co/3rqRfFx -
PDEbench and PDEarena Show Conflicting Results Despite Same Solver
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PDEbench and PDEarena even use same solver to generate data (same Re, domain size, boundary for NS). Yet they arrive at contradicting conclusions. Discrepancies are likely coming from training protocol/ model tuning. Not good for #AI #PDE community to have this level of mismatch
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PDEbench versus PDEarena: Initial Conditions and Reproducibility
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In PDEbench initial conditions are explicitly provided which is great for reproducibility @Mniepert but PDEarena has a scalar for forcing and doesn’t specify how initial conditions are generated. Opaque. @jo_brandstetter @rejuvyesh Good to fix this @eigensteve @ShuiwangJi