Investors warm to software just a little bit https://
thetechnologyletter.com/the-posts/inve
stors-warm-to-software-just-a-little-bit
… // $NTNX $GTLB $DT $CFLT #investing #stocks #technology
SOFTWARE
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Investors Warming to Software Market Opportunity
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SerpAPI Wrapper Gains Sports and Knowledge Graph Results
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Add sports & knowledge graph results to SerpAPI wrapper When working on http://
howdoi.ai, @brunotorious noticed that results for sports were not found, due to parsing of SerpAPI results. So he fixed it! See screenshots for before and after https://
x.com/brunotorious/s
tatus/1607088382521507841?s=20&t=ar8qq203aMD2Hxs3yuNYRQ
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Developer pushing 300 daily git commits to repository
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me pushing to git 300 times per daypic.twitter.com/K9UpBQAM5H
— @levelsio (@levelsio) 28 décembre 2022me pushing to git 300 times per day
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Rewind AI: Find Anything You’ve Seen, Heard or Said
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Rewind AI lets you find anything you've seen, heard or said. https://
futurepedia.io/tool/rewind-ai #AI #ChatGPT #Productivity -
Beyond Copilot: The Next Evolution in AI Developer Experience
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The Big Question in AI-driven developer experience: What's after Copilot? Everyone is convinced this is "just" the beginning but can't articulate what the next killer form factor will be. Increasingly convinced next step change won't be from optimal stuffing context windows
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FP16 Efficiency and Gradient Scaling Considerations
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yeah fp16 is a little more efficient atm for the code as I have it right now but then need gradient scaler ;s
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Top 2022 AI Videos: Data Centers, Digital Twins, Healthcare
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Our most popular videos of 2022 put spotlights on photorealistically animated data centers, digital twins for climate science, AI for healthcare and more. https://
nvda.ws/3GibTg5 -
Search Engine Improvement Compared to Google Results
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Thanks for covering us and comparing our results to Google! Quite unexpected! Lot of work ahead of us to improving the search experience.
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Real-time ML Feature Store: Merge Data Pipelines and Deploy AI Models
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@abacusai
's Real-time ML feature store lets you merge batch and streaming data pipelines, build features in SQL or Python, and create advanced nested and time travel features for your models. You can deploy your AI models at scale with enterprise-class security and governance. -
MLOps Maturity Model Infographic and Best Practices
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#Infographic: #MLOps Maturity Model
Via @ingliguori #BigData #Analytics #DataScience #AI #PyTorch #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #DevCommunity #DataScientist #DigitalTransformation #Cloud #MachineLearning #100DaysofCode #ArtificialIntelligence