One has to admit, Anthropic sees a trend (openClaw) and develops their own version. The speed of their releases is insane. Presumably 100% code written by Claude.
CODE
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Claude’s Operational Features: Thinking Mode, Speed, and Cost Control
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I also like the operational thinking behind it. You get: → Thinking mode for deeper reasoning and multi-step tool calls
→ Faster mode when latency matters
→ JSON mode, streaming, file-based Q&A
→ Token estimation so you can predict cost before heavy vision jobs And it is -
256K Context Window: Real Benefits Beyond Specifications
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Then there is the 256K context window. That is not a spec sheet flex. That is: → Entire codebases in context
→ Long legal or technical documents without chunking gymnastics
→ Multi-turn agent workflows that do not lose the plot If you are building internal copilots or -
Claude Command Line Tool for Secure Workflow Automation
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claude -p lets you execute Claude as a single command. This is nice for workflows that need intelligence for one step but need privileges for a different step. For instance you can get Claude to generate release notes or PR text, then deterministically make the PR or release, without giving Claude write permissions to your Github.
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Enabling Claude Extended Thinking in Chat Mode
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If anyone else is hitting this issue of Claude not using "extended thinking", be sure you're in the "Chat" mode, where you can enable it:
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Agentic Design Patterns: Building Intelligent Systems Guide
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"Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems" Read the Online eBook from Google at https://
docs.google.com/document/d/1rs
aK53T3Lg5KoGwvf8ukOUvbELRtH-V0LnOIFDxBryE/mobilebasic?pli=1#heading=h.pxcur8v2qagu
… Buy hardcopy version at http://
amzn.to/3IyOrPx -
Recommended Book: Machine Learning Design Patterns for Data Challenges
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[Excellent Book] Machine Learning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and MLOps: http://amzn.to/2W7YSy0
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#AI #ML #DataScience #MachineLearning #DataScientist -
Google Machine Learning and Generative AI for Solutions Architects
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Google Machine Learning and Generative AI for Solutions Architects: https://
amzn.to/4lMz6Kt via @PacktDataML -
Stanford CS246: Mining Massive Datasets eBook and Slides
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Find the e-book (PDF, 3rd edition) *and* corresponding lecture slides from the Stanford Computer Science course CS246 “Mining Massive Datasets” at http://
mmds.org
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#DataScientist #DataScience #ML #MachineLearning #AI #Algorithms #Mathematics -
Pen and Paper Exercises in Machine Learning PDF Download
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"Pen and Paper Exercises in Machine Learning" Download 211-page PDF: http://
arxiv.org/abs/2206.13446 Author’s GitHub: https://
github.com/michaelgutmann
/ml-pen-and-paper-exercises
…
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#DataScientist #AI #ML #DataScience