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ML and AI Model Explainability and Interpretability

Analytics Vidhya

In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. Through tools like LIME and SHAP, we demonstrate how to gain insights […] The post ML and AI Model Explainability and Interpretability appeared first on Analytics Vidhya.

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AI Explainability and Its Immediate Impact on Legal Tech – Insights from Expert Discussion  

AI News

Last week, leading experts from academia, industry, and regulatory backgrounds gathered to discuss the legal and commercial implications of AI explainability, with a particular focus on its impact in retail. “AI explainability means understanding why a specific object or change was detected. “Transparency is key.

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LLMs.txt Explained: The Web’s New LLM-Ready Content Standard

Analytics Vidhya

Today, as discussions around Model Context Protocols (MCP) intensify, LLMs.txt is in the spotlight as a proven, AI-first documentation […] The post LLMs.txt Explained: The Web’s New LLM-Ready Content Standard appeared first on Analytics Vidhya.

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What does “PhD-level” AI mean? OpenAI’s rumored $20,000 agent plan explained.

Flipboard

The AI industry has a new buzzword: "PhD-level AI." According to a report from The Information, OpenAI may be planning to launch several specialized AI "agent" products including a $20,000 monthly tier focused on supporting "PhD-level research."

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How To Package & Price Embedded Analytics

This framework from Software Pricing Partners explains how application enhancements can extend your product offerings. Just by embedding analytics, app owners can charge 24% more for their product. How much value could you add?

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How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

Unite.AI

Thats why explainability is such a key issue. The more we can explain AI, the easier it is to trust and use it. LLMs as Explainable AI Tools One of the standout features of LLMs is their ability to use in-context learning (ICL). Researchers are using this ability to turn LLMs into explainable AI tools.

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Narrowing the confidence gap for wider AI adoption

AI News

Avi Perez, CTO of Pyramid Analytics, explained that his business intelligence software’s AI infrastructure was deliberately built to keep data away from the LLM , sharing only metadata that describes the problem and interfacing with the LLM as the best way for locally-hosted engines to run analysis.”There’s

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How to Package and Price Embedded Analytics

This framework explains how application enhancements can extend your product offerings. Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? Brought to you by Logi Analytics.