Claude also powers data extraction for @IntunedHQ
, creating a better developer experience while building and executing browser automations.
@anthropicai
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Claude Powers Data Extraction for Browser Automation
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Claude Powers StudyFetch Spark.E AI Tutor
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Early customers use Claude with tool use to build bespoke experiences—
@StudyFetch uses Claude to power Spark.E, a personalized AI tutor that helps students study more effectively. -
Tool Use Advances: Streaming, Forced Choice, and Multimodal Vision
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Tool use also supports message streaming, "forced" tool choice, and vision support—helping you build more natural, focused, and multimodal experiences.
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Claude Tool Use Now Generally Available for Developers
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Tool use is now generally available.
— Anthropic (@AnthropicAI) 30 mai 2024
With tool use, Claude can, if instructed, intelligently select and orchestrate tools to solve complex tasks end-to-end.
Start building today with our API, Amazon Bedrock, or Google Vertex AI: https://t.co/DHcQ6LYQGp https://t.co/pqVIP06kHiTool use is now generally available. With tool use, Claude can, if instructed, intelligently select and orchestrate tools to solve complex tasks end-to-end. Start building today with our API, Amazon Bedrock, or Google Vertex AI: http://
anthropic.com/news/tool-use-
ga
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Jay Kreps Joins Anthropic’s Board of Directors
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Welcoming @jaykreps to Anthropic's Board of Directors:
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Anthropic Wraps Golden Gate Claude Demo, Announces Hiring
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We will shortly be wrapping up our Golden Gate Claude demo. One last chance to chat, before the fog rolls in. We hope this demo helped ground our research in practice. If our work here excites you, we're hiring: https://
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Anthropic Demonstrates Internal Feature Modification in Claude AI
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This week, we showed how altering internal "features" in our AI, Claude, could change its behavior. We found a feature that can make Claude focus intensely on the Golden Gate Bridge. Now, for a limited time, you can chat with Golden Gate Claude: http://
claude.ai -
Anthropic Interpretability Team Hiring Managers and Researchers
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If this work interests you, our interpretability team is hiring. We’re looking for: • Managers: https://
boards.greenhouse.io/anthropic/jobs
/4009173008
… • Research Scientists: https://
boards.greenhouse.io/anthropic/jobs
/4020159008
… • Research Engineers: -
Scaling Monosemanticity: Understanding Neural Network Features and Safety
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There’s much more in our paper, including detailed analysis of the breadth and specifics of features, many more safety-relevant case studies, and preliminary work on using features to study computational "circuits" in models. Read the full paper here: https://
transformer-circuits.pub/2024/scaling-m
onosemanticity/index.html
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Dictionary Learning and Sparse Coding Advance AI Interpretability Research
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Our research builds on prior work in sparse coding, compressed sensing, and disentanglement in machine learning, mathematics, and neuroscience. We are also pleased to see work from many other research groups applying dictionary learning and related methods to interpretability.