Yes! we're all for running models in the browser (and we already host many browser-compatible models on the Hub), but pragmatically for large models this is not tractable so those need to run server-side
SOFTWARE
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Google Collaborates on OpenXLA Project for AI Tooling
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Open source software gives everyone the opportunity to help create breakthroughs in AI. At Google, we’re excited to collaborate on the OpenXLA Project to foster great AI tooling (great ML performance, framework compatibility, highly configurable & more).
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Datadog outage creates competitive opportunity says William Blair
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Datadog’s outage can be grist for competitors, says William Blair https://
thetechnologyletter.com/the-posts/data
dogs-outage-can-be-grist-for-competitors-says-william-blair
… $DDOG $DT $SPLK $NEWR #investing #stocks #tech #DevOps #DevSecOps #observability #software #cloudcomputing -
Lessons From Deploying Deep Learning To Production
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Lessons From Deploying #DeepLearning To Production
by @pgaooo @gradientpub Go to: https://
buff.ly/3MijbB4 #Automation #AI #BigData #MachineLearning #ArtificialIntelligence #ML #MI #DataScience cc: @ravikikan @kuriharan @karpathy -
Visual Studio Code Integration with Databricks for Remote Code Execution
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Why do we Visual Studio Code? It enables developers to write code locally, leveraging the powerful authoring capabilities of the IDE, while connecting to Databricks clusters to run code remotely. What's better than that?! Learn more https://
dbricks.co/3xnf0y6 -
Update Ruby Repls: Nix Channel and Bundler Configuration
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For existing Ruby Repls: 1. Update the nix channel in .replit to "stable-22_11" 2. Copy the replit.nix file from the template (select show hidden files) 3. Delete the Bundler version in the gemfile.lock and run bundle install Let us know if you have trouble!
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Ruby Template Updated to Latest Version in Nixpkgs
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Thank you for the feedback! We've updated our Ruby template to use Ruby 3.1, which is the latest version in Nixpkgs. Check it out here:
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MLOps for Large-Scale Deep Learning with GPT-3 at GTC23
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On March 23rd at #gtc23, Subir Mansukhani will delve into the MLOps considerations of working with these models like GPT-3 in, "Large-Scale Deep Learning using Hybrid/Multi-Cloud MLOps, GPUs, OpenMPI, and DeepSpeed". Add this to your agenda. Reg is free. https://
domino.buzz/3Jnn1tu -
New O’Reilly Book on Automating Data Quality Monitoring Released
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I've always been passionate about data quality — that's where the best war stories are, too. My friend @jeremystan is writing book on it and you can read the first chapter now: Anomalo (@anomalo_hq) 📚 HOT OFF THE PRESS 📚 We’re excited to share an exclusive first look at @OReillyMedia’s new book Automating Data Quality Monitoring at Scale written by @jeremystan & Paige Chapter 1: The Data Quality Imperative is out now Download👉 anomalo.com/oreilly/automati… #dataquality 📈 — https://nitter.net/anomalo_hq/status/1633505732116217859#m
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Cerebras Advances AI Accessibility Through OpenXLA Framework
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Cerebras builds leading AI systems and software to make large-scale AI easy and accessible to organizations. We are proud to see OpenXLA, a solution that makes frameworks easier to deploy across different hardware options, being made generally available and accessible to all.