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Source channel @githubtrending · Post #15513 · Feb 20

#python#agents#claude#cursor#databricks#vibecoding The Databricks AI Dev Kit enhances AI-driven development by providing your coding assistant (Claude Code, Cursor, etc.) with trusted Databricks knowledge and best practices. It includes a Python library, MCP server with 50+ tools, markdown skills teaching Databricks patterns, and a web-based builder app. You can build Spark pipelines, jobs, dashboards, knowledge assistants, and deploy ML models faster and smarter. The benefit is that your AI coding assistant gains direct access to Databricks functionality and patterns, enabling you to develop data and AI applications more efficiently with built-in governance and best practices. https://github.com/databricks-solutions/ai-dev-kit

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AI & Law

@ai_and_law · Post #130 · 10/04/2023, 07:04 AM

Google Empowers Web Publishers with Data Control Hello, everyone! Google has introduced a new tool called Google-Extended, allowing website publishers to opt out of using their data to train Google's AI models, all while maintaining accessibility through Google Search. This tool provides a solution for publishers who wish to have their sites indexed by Google's web crawlers but prefer not to contribute their data to the development of AI models like Bard and Vertex AI generative APIs. Bard, Google's AI chatbot, has been undergoing training using publicly available web data. With Google-Extended, publishers can now manage their site's participation in this process. Google-Extended is integrated into the robots.txt file, which is used to inform web crawlers about site accessibility. It grants web publishers the ability to control AI model training access and content availability. #AIandLaw#GoogleAI#WebPublishers#AIModels