LangChain 101: Build Your Own GPT-Powered Applications LangChain is a Python library that helps you leverage large language models to build custom NLP applications. https://
bit.ly/41HgC35
TOOLS
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LangChain 101: Build GPT-Powered Applications
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Poe Launches Web Subscriptions for GPT-4 and Claude+
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Today we are launching Poe subscriptions on web, which gives paying users the ability to talk to both GPT-4 and Claude+. Subscribing on web or iOS gives you seamless use of these bots across all platforms. Subscriptions were previously only available on iOS.
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How to Subscribe to Poe AI on Web and Mobile
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To subscribe on web go to http://
poe.com/settings and click Subscribe to Poe, or download the iOS app from the App Store by searching for Poe. -
Extensions Payment System Launch for Developer Monetization
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3/ We'll be continuously improving Extensions, adding more power and capabilities in the coming weeks and months. This will include a payment system for developers to monetize their creations .
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Replit Extensions: Developer Collaboration Tool Announcement
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4/ A huge thank you goes out to Replit developers and beta testers who collaborated with us to help shape what Extensions look like today. If you’re interested in learning more about extensions, check out our blog post. https://
blog.replit.com/extensions -
AI-Assisted Data Science and ML Platform for Organizations
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If your organization is doing #DataScience and #MLOps plus is looking to add more #AI, then the AI-assisted DS / ML platform from @abacusai is what you need to investigate… now! https://
abacus.ai/mlops
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#BigData #GenerativeAI #MachineLearning #ML #DeepLearning #AIStrategy -
4 Essential Books for Data Science and AI Professionals
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4 essential books for #DataScience #AI #DataScientists
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• Designing #ML Systems: https://
amzn.to/3V1IOex • #DeepLearning with #Python: https://
amzn.to/3H8xkAe • Transformers for #NLProc: https://
amzn.to/3LriRC2 • #MachineLearning with PyTorch… https://
amzn.to/41YhksJ -
Machine Learning with PyTorch and Scikit-Learn Book Released
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Massive 774-page book by @rasbt “#MachineLearning with #PyTorch and Scikit-Learn: Develop #ML and #DeepLearning models with #Python” at http://
amzn.to/3J6DK4u ————
#100DaysOfCode #BigData #DataScience #AI #NeuralNetworks #DataScientists @PacktPublishing @PacktAuthors -
Containerization and Kubernetes scaling for ML workloads
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1) Containerization provides consistent, reproducible behavior required for ML workloads.
2) Scaling gets first-class support in Kubernetes, unlocking scaling for training and experimentation. -
Kubernetes Lessons Learned Running ML at Snorkel
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Snorkel tackles heavy ML workloads for some of the world's largest organizations. We have built our infrastructure on Kubernetes—even though it wasn't designed for ML! Here are a few lessons learned from @wheeliamhuang
, Tech Lead Manager at Snorkel https://
snorkel.ai/kubernetes-les
sons-learned-at-snorkel-ai/
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