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The AI Concepts Podcast
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Markov Decision Processes (MDPs): The Framework Behind Smart Decision-Making in AI

8 min•30 januari 2025

Welcome to the AI Concepts Podcast, where host Shea simplifies complex AI ideas. In this episode, we delve into Markov Decision Processes (MDPs), a pivotal concept in AI, particularly in reinforcement learning. MDPs enable systems like warehouse robots to make well-informed decisions that consider both immediate and future outcomes.

Shea breaks down the core components of MDPs: states, actions, rewards, and transitions. Discover how MDPs create policies that guide AI systems in making efficient decisions autonomously, enhancing their adaptability and effectiveness in dynamic environments.

If you're eager to grasp AI's capability to strategize and optimize decisions, this episode is a must-listen. Tune in as we make AI learning simple and engaging. Don't forget to follow us on LinkedIn and Instagram for more insightful discussions. Stay curious and keep exploring AI!

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Module 6: RAG | Chunking - Where You Cut Decides What Gets Found
•11 min
Module 6: RAG | Data Ingestion - Before Your Documents Can Be Found
•12 min
Module 6: RAG | Vector Databases - Where That Meaning Gets Stored
•10 min
Module 6: RAG | Embeddings - Teaching Machines to Understand Meaning
•8 min
Module 6: The RAG Pipeline - End to End
•13 min
Module 6: What is RAG and Why it Exists
•9 min
Module 5: Reasoning Models
•8 min
Module 5: Structured Output and the Language of Software
•8 min
Module 5: System Prompts and the Invisible Rules
•11 min
Module 5: Chain of Thought Prompting
•7 min

The AI Concepts Podcast med Sheetal ’Shay’ Dhar finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.