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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Shared by AWS Machine Learning April 2, 2025
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
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Shared by AWS Machine Learning April 2, 2025
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.
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%
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Shared by AWS Machine Learning March 31, 2025
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.
Favorite Amazon Bedrock Guardrails announces the general availability of image content filters, enabling you to moderate both image and text content in your generative AI applications. Previously limited to text-only filtering, this enhancement now provides comprehensive content moderation across both modalities. This new capability removes the heavy lifting required to
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Shared by AWS Machine Learning March 28, 2025
Favorite These efforts, including new responsible AI curriculum and a $1 million grant to MIT RAISE, all aim to help students and educators use AI safely and effectively. View Original Source (blog.google/technology/ai/) Here.
Favorite Amazon Bedrock cross-Region inference capability that provides organizations with flexibility to access foundation models (FMs) across AWS Regions while maintaining optimal performance and availability. However, some enterprises implement strict Regional access controls through service control policies (SCPs) or AWS Control Tower to adhere to compliance requirements, inadvertently blocking cross-Region
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Shared by AWS Machine Learning March 27, 2025
Favorite In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. Generative AI solutions can play an invaluable role during the model development phase by simplifying training and test
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Shared by AWS Machine Learning March 27, 2025
Favorite When implementing machine learning (ML) workflows in Amazon SageMaker Canvas, organizations might need to consider external dependencies required for their specific use cases. Although SageMaker Canvas provides powerful no-code and low-code capabilities for rapid experimentation, some projects might require specialized dependencies and libraries that aren’t included by default in
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Shared by AWS Machine Learning March 27, 2025
Shared by AWS Machine Learning April 2, 2025
