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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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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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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 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  

Security News
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North Korean Hackers Turn JSON Services into Covert Malware Delivery Channels The Hacker Newsinfo@thehackernews.com (The Hacker News)

The North Korean threat actors behind the Contagious Interview campaign have once again tweaked their tactics by using JSON storage services to stage malicious payloads. “The threat actors have recently resorted to utilizing JSON storage services like JSON Keeper, JSONsilo, and npoint.io to host and deliver malware from trojanized code projects, with the lure,” NVISO […]