Category: Ai Systems
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TDS Newsletter: How to Build Robust Data and AI Systems
TDS Newsletter: How to Build Robust Data and AI Systems Many practitioners like to jump headfirst into the nitty-gritty details of implementing AI-powered tools. We get it: tinkering your way into a solution can sometimes save you time, and it’s often a fun way to go about learning. As the articles we’re highlighting this week show,…
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Gaining Strategic Clarity in AI
Gaining Strategic Clarity in AI Introducing the AI strategy playbook The post Gaining Strategic Clarity in AI appeared first on Towards Data Science. Dr. Janna Lipenkova Go to original source
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Testing the Power of Multimodal AI Systems in Reading and Interpreting Photographs, Maps, Charts and More
Testing the Power of Multimodal AI Systems in Reading and Interpreting Photographs, Maps, Charts and More Introduction It’s no news that artificial intelligence has made huge strides in recent years, particularly with the advent of multimodal models that can process and create both text and images, and some very new ones that also process and produce…
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A Clear Intro to MCP (Model Context Protocol) with Code Examples
A Clear Intro to MCP (Model Context Protocol) with Code Examples As the race to move AI agents from prototype to production heats up, the need for a standardized way for agents to call tools across different providers is pressing. This transition to a standardized approach to agent tool calling is similar to what we…