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How to Design an Advanced Multi-Agent Reasoning System with spaCy Featuring Planning, Reflection, Memory, and Knowledge Graphs MarkTechPost

How to Design an Advanced Multi-Agent Reasoning System with spaCy Featuring Planning, Reflection, Memory, and Knowledge GraphsMarkTechPost In this tutorial, we build an advanced Agentic AI system using spaCy, designed to allow multiple intelligent agents to reason, collaborate, reflect, and learn from experience. We work through the entire pipeline step by step, observing how each agent processes tasks using planning, memory, communication, and semantic reasoning. By the end, we see how the
The post How to Design an Advanced Multi-Agent Reasoning System with spaCy Featuring Planning, Reflection, Memory, and Knowledge Graphs appeared first on MarkTechPost.

 In this tutorial, we build an advanced Agentic AI system using spaCy, designed to allow multiple intelligent agents to reason, collaborate, reflect, and learn from experience. We work through the entire pipeline step by step, observing how each agent processes tasks using planning, memory, communication, and semantic reasoning. By the end, we see how the
The post How to Design an Advanced Multi-Agent Reasoning System with spaCy Featuring Planning, Reflection, Memory, and Knowledge Graphs appeared first on MarkTechPost. Read More  

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Building AI Automations with Google Opal KDnuggets

Building AI Automations with Google Opal KDnuggets

Building AI Automations with Google OpalKDnuggets Google Opal is a no-code, experimental tool from Google Labs. It is designed to enable users to build and share AI-powered micro-applications using natural language.

 Google Opal is a no-code, experimental tool from Google Labs. It is designed to enable users to build and share AI-powered micro-applications using natural language. Read More  

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How to Crack Machine Learning System-Design Interviews Towards Data Science

How to Crack Machine Learning System-Design InterviewsTowards Data Science A comprehensive guide into Meta, Apple, Reddit, Amazon, Google, and Snap ML design interviews
The post How to Crack Machine Learning System-Design Interviews appeared first on Towards Data Science.

 A comprehensive guide into Meta, Apple, Reddit, Amazon, Google, and Snap ML design interviews
The post How to Crack Machine Learning System-Design Interviews appeared first on Towards Data Science. Read More  

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“The success of an AI product depends on how intuitively users can interact with its capabilities” Towards Data Science

“The success of an AI product depends on how intuitively users can interact with its capabilities”Towards Data Science Janna Lipenkova on AI strategy, AI products, and how domain knowledge can change the entire shape of an AI solution.
The post “The success of an AI product depends on how intuitively users can interact with its capabilities” appeared first on Towards Data Science.

 Janna Lipenkova on AI strategy, AI products, and how domain knowledge can change the entire shape of an AI solution.
The post “The success of an AI product depends on how intuitively users can interact with its capabilities” appeared first on Towards Data Science. Read More  

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Harnessing the power of generative AI: Druva’s multi-agent copilot for streamlined data protection Artificial Intelligence

Harnessing the power of generative AI: Druva’s multi-agent copilot for streamlined data protection Artificial Intelligence

Harnessing the power of generative AI: Druva’s multi-agent copilot for streamlined data protectionArtificial Intelligence Generative AI is transforming the way businesses interact with their customers and revolutionizing conversational interfaces for complex IT operations. Druva, a leading provider of data security solutions, is at the forefront of this transformation. In collaboration with Amazon Web Services (AWS), Druva is developing a cutting-edge generative AI-powered multi-agent copilot that aims to redefine the customer experience in data security and cyber resilience.

 Generative AI is transforming the way businesses interact with their customers and revolutionizing conversational interfaces for complex IT operations. Druva, a leading provider of data security solutions, is at the forefront of this transformation. In collaboration with Amazon Web Services (AWS), Druva is developing a cutting-edge generative AI-powered multi-agent copilot that aims to redefine the customer experience in data security and cyber resilience. Read More  

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Make your web apps hands-free with Amazon Nova Sonic Artificial Intelligence

Make your web apps hands-free with Amazon Nova Sonic Artificial Intelligence

Make your web apps hands-free with Amazon Nova SonicArtificial Intelligence Graphical user interfaces have carried the torch for decades, but today’s users increasingly expect to talk to their applications. In this post we show how we added a true voice-first experience to a reference application—the Smart Todo App—turning routine task management into a fluid, hands-free conversation.

 Graphical user interfaces have carried the torch for decades, but today’s users increasingly expect to talk to their applications. In this post we show how we added a true voice-first experience to a reference application—the Smart Todo App—turning routine task management into a fluid, hands-free conversation. Read More  

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Build a biomedical research agent with Biomni tools and Amazon Bedrock AgentCore Gateway Artificial Intelligence

Build a biomedical research agent with Biomni tools and Amazon Bedrock AgentCore Gateway Artificial Intelligence

Build a biomedical research agent with Biomni tools and Amazon Bedrock AgentCore GatewayArtificial Intelligence In this post, we demonstrate how to build a production-ready biomedical research agent by integrating Biomni’s specialized tools with Amazon Bedrock AgentCore Gateway, enabling researchers to access over 30 biomedical databases through a secure, scalable infrastructure. The implementation showcases how to transform research prototypes into enterprise-grade systems with persistent memory, semantic tool discovery, and comprehensive observability for scientific reproducibility .

 In this post, we demonstrate how to build a production-ready biomedical research agent by integrating Biomni’s specialized tools with Amazon Bedrock AgentCore Gateway, enabling researchers to access over 30 biomedical databases through a secure, scalable infrastructure. The implementation showcases how to transform research prototypes into enterprise-grade systems with persistent memory, semantic tool discovery, and comprehensive observability for scientific reproducibility . Read More