Quality of life update today for devs. Four features are moving out of beta to become generally available on the Anthropic API:
– Prompt caching
– Message Batches API (with expanded batches)
– Token counting
– PDF support
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Four Developer Features Now Generally Available on Anthropic API
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OpenAI Releases o1 API with Structured Outputs and Function Calling
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new stuff for developers today, including o1 in the API with new features like structured outputs and function calling, realtime API updates, preference fine-tuning, and more.
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Using o1 for Planning in AI Agents with LangGraph
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o1 for a planning step OpenAI just launched API support for o1. What's the best way to use this? I think it's helpful to look at how @unifygtm used o1-preview with LangGraph to build an Account Qualification Agent They used o1-preview for the planning step. They found it to
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OpenAI 12 Days Day 9: Developer Focus and AMA Session
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Developers, on Day 9 of our 12 Days of @OpenAI
, we’re focusing on you! Tune in at 10am PT: https://
openai.com/12-days/?day=9 Right after, join our AMA on the developer forum and bring your questions: https://
community.openai.com/t/ama-on-the-1
7th-of-december-with-openais-api-team-post-your-questions-here/1057527
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Kirk Borne Adds 2400+ Free Resources for X Subscribers
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I added more FREE downloadable resources for my @X Subscribers this week. 2400+ resources are now available for subscribers to my @X account. Subscribe for only US$4.99/month #MachineLearning #AI #EdgeAI #DataScience #Python #Mathematics #Statistics #SQL #GenAI #IoT #ML
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India AI-Ready: Develop Watermarking, Ethics, Risk Tools
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Come, join us to make India AI-ready by developing tools, frameworks or solutions across the following themes: – Watermarking & Labelling
– Ethical AI Frameworks
– AI Risk Assessment & Management
– Stress Testing Tools
– Deepfake Detection Tools -
Meta-evaluation frameworks for AI system assessment
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yeah sure you've probably written evals, but have you ever written evals for your evals?
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Building and Shipping ML Models to Production Applications
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Learn both how to build and how to ship #ML models into production >> "Building #MachineLearning Powered Applications — Going from Idea to Product": https://
amzn.to/38aaWTG by @mlpowered —————
#DataScience #AI #DataScientist -

50 Days of Data Analysis with Python: Beginner Challenges Book
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See this fun book! >> 50 Days of Data Analysis with #Python — Ultimate Book of Challenges for Beginners, with Hands-on Challenges using PANDAS, NumPy, Matplotlib, Sklearn and Seaborn: http://
amzn.to/3uQfgrR by @RealBenjizo —————
#DataScience #ML #DataViz #DataScientist #Coding