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IBM Releases Qiskit Code Assistant to Streamline Quantum Coding with AI Tools thequantuminsider.com/2024/10/11/ibm…
thequantuminsider.com
IBM Releases Qiskit Code Assistant to Streamline Quantum Coding with AI Tools IBM Releases Qiskit...
IBM has launched the Qiskit Code Assistant to help users generate and optimize Qiskit code efficiently and simplify quantum programming.
Have you tried Optik yet?
💥 ANNOUNCEMENT: Opik v1.0 is released! 💥 Opik is an open source LLM evaluation framework for: 🔥 Implementing LLM-based metrics 🪲 Logging/debugging LLM traces 💯 Scoring, annotating, and versioning LLM data And so much more. Check out the repo below.
AI needs UI, and OpenAI's impressive new voice APIs open up a lot of possibilities. Congrats @OpenAI team -- we'll soon be seeing a whole new generation of speech applications!
Retailers are using advanced analytics and #machinelearning in Azure to ensure the products customers want are in stock. Learn how: msft.social/eSF1BL
The new WSJ article on IBM Watson Health's setbacks is a sober reminder that we need to set realistic expectations. AI will transform industries, but the path is not always obvious. I still hope Watson Health ultimately triumphs though. @danielas_bot @tedgreenwald
amazon.com/Hands-Reinforc… Hands-On Reinforcement Learning with Python is out now. Buy. Read. Review.
Anaconda Enterprise 5.2 releases with special focus on machine learning in production hub.packtpub.com/anaconda-enter… via @PacktPub
#GitHub #movetogitlab The Microsoft-GitHub deal has set into motion an exodus of GitHub projects to GitLab hub.packtpub.com/the-microsoft-… via @PacktPub
Wow, so honored! "Machine Learning Algorithms" published by @PacktPub was named one of the best Machine Learning books of all time by @BookAuthority! bookauthority.org/books/best-mac… #MachineLearning #AI #scikitlearn
bookauthority.org
WINNER: 17 Machine Learning Books That Accelerate Your Expertise
Discover 17 expert-recommended Machine Learning books curated by Kirk Borne, Francois Chollet, and Geoffrey Hinton to deepen your skills and knowledge.
Please consider submitting your work to the fairness, accountability and transparency in machine learning workshop at ICML: fatml.org/schedule/2018/…
I'm co-organizing an ICML workshop to host debates on the future of AI: machinelearningdebates.com Notably, the focus is *not* on smack-downs and controversy; rather on making space for nuance, discussing falsifiable predictions, and changing your own and other's minds. [1/2]
United States Tendances
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