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Source channel @githubtrending · Post #14933 · Jul 9

#go#databases#genai#llms#mcp The MCP Toolbox for Databases helps developers connect AI agents to databases more easily and securely. It simplifies the process by handling complex tasks like connection pooling and authentication, allowing you to integrate databases with AI agents using minimal code. This toolbox supports the Model Context Protocol (MCP), which standardizes how AI interacts with external tools. By using MCP Toolbox, you can automate database tasks, query databases using natural language, and generate context-aware code, all of which save time and improve development efficiency. https://github.com/googleapis/genai-toolbox

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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