The Dataa Hub

Hand-picked content on all things #data

[The Dataa Hub @TheDataaHub]

#MachineLearning #artificalintelligence

[The Dataa Hub @TheDataaHub]

IBM Releases Qiskit Code Assistant to Streamline Quantum Coding with AI Tools

https://t.co/rQul2psaff

[The Dataa Hub @TheDataaHub]

Have you tried Optik yet?

[Comet @Cometml]

💥 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.

[Andrew Ng @AndrewYNg]

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!

[Microsoft Azure @Azure]

Retailers are using advanced analytics and #machinelearning in Azure to ensure the products customers want are in stock. Learn how: https://t.co/vJXFtnUzNW

[Andrew Ng @AndrewYNg]

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

[The Dataa Hub @TheDataaHub]

https://t.co/b3hqwZw21S

Hands-On Reinforcement Learning with Python is out now. Buy. Read. Review.

[Anaconda @anacondainc]

Anaconda Enterprise 5.2 releases with special focus on machine learning in production https://t.co/PiFwainhOB via @PacktPub

[Amarabha Banerjee @amarabha_]

#GitHub #movetogitlab The Microsoft-GitHub deal has set into motion an exodus of GitHub projects to GitLab https://t.co/XMMIfW8Qfz via @PacktPub

[Giuseppe Bonaccorso @GiuseppeB]

Wow, so honored! "Machine Learning Algorithms" published by @PacktPub was named one of the best Machine Learning books of all time by @BookAuthority!
https://t.co/TD7Am2e8rV

#MachineLearning #AI #scikitlearn

[@timnitGebru (@dair-community.social/bsky.social) @timnitGebru]

Please consider submitting your work to the fairness, accountability and transparency in machine learning workshop at ICML: https://t.co/qObdgG0Aut

[Catherine Olsson @catherineols]

I'm co-organizing an ICML workshop to host debates on the future of AI: https://t.co/ep0YX5guaP

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]