New in NotebookLM: Discover sources from around the web
Favorite NotebookLM has launched Discover Sources, which lets you add sources from the web to your notebook. View Original Source (blog.google/technology/ai/) Here.
Finding answers, building hope
Favorite Googler Thomas Wagner shares how he used Gemini to learn more about his son’s rare disease, and jumpstart research. View Original Source (blog.google/technology/ai/) Here.
AWS App Studio introduces a prebuilt solutions catalog and cross-instance Import and Export
Favorite AWS App Studio is a generative AI-powered service that uses natural language to build business applications, empowering a new set of builders to create applications in minutes. With App Studio, technical professionals such as IT project managers, data engineers, enterprise architects, and solution architects can quickly develop applications tailored
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Shared by AWS Machine Learning April 2, 2025
Minimize generative AI hallucinations with Amazon Bedrock Automated Reasoning checks
Favorite Foundation models (FMs) and generative AI are transforming enterprise operations across industries. McKinsey & Company’s recent research estimates generative AI could contribute up to $4.4 trillion annually to the global economy through enhanced operational efficiency, productivity growth of 0.1% to 0.6% annually, improved customer experience through personalized interactions, and
Read More Shared by AWS Machine Learning April 2, 2025
Generate compliant content with Amazon Bedrock and ConstitutionalChain
Favorite Generative AI has emerged as a powerful tool for content creation, offering several key benefits that can significantly enhance the efficiency and effectiveness of content production processes such as creating marketing materials, image generation, content moderation etc. Constitutional AI and LangGraph‘s reflection mechanisms represent two complementary approaches to ensuring
Read More Shared by AWS Machine Learning April 2, 2025
Harness the power of MCP servers with Amazon Bedrock Agents
Favorite AI agents extend large language models (LLMs) by interacting with external systems, executing complex workflows, and maintaining contextual awareness across operations. Amazon Bedrock Agents enables this functionality by orchestrating foundation models (FMs) with data sources, applications, and user inputs to complete goal-oriented tasks through API integration and knowledge base
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Introducing AWS MCP Servers for code assistants (Part 1)
Favorite We’re excited to announce the open source release of AWS MCP Servers for code assistants — a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. Our specialized AWS MCP servers combine deep AWS knowledge with agentic
Read More Shared by AWS Machine Learning April 2, 2025
How we built the new family of Gemini Robotics models
Favorite Robots powered by Gemini Robotics models can learn complex actions like preparing salads and even folding an origami fox. View Original Source (blog.google/technology/ai/) Here.
Build agentic systems with CrewAI and Amazon Bedrock
Favorite This post is co-authored with Joao Moura and Tony Kipkemboi from CrewAI. The enterprise AI landscape is undergoing a seismic shift as agentic systems transition from experimental tools to mission-critical business assets. In 2025, AI agents are expected to become integral to business operations, with Deloitte predicting that 25%
Read More Shared by AWS Machine Learning March 31, 2025
The newest recipients of Google.org’s AI Opportunity Fund
Favorite Google.org has announced which organizations will receive the final $10 million in funding from its $75 million AI Opportunity Fund. View Original Source (blog.google/technology/ai/) Here.