
The AI Concepts Podcast is my attempt to turn the complex world of artificial intelligence into bite-sized, easy-to-digest episodes. Imagine a space where you can pick any AI topic and immediately grasp it, like flipping through an Audio Lexicon - but even better! Using vivid analogies and storytelling, I guide you through intricate ideas, helping you create mental images that stick. Whether you’r... more
| Publishes | Daily | Episodes | 81 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyCoursesEducation | |||

In this episode, we bring everything together by following one LLM application from the user's first request to the final response. We see retrieval, context, tools, model calls, state, memory and orchestration working as one system, revealing the bi... more
In this episode, we map the modern LLM application stack and explore where frameworks, SDKs, runtimes and protocols actually fit. We look at how tools like LangChain, LangGraph, LlamaIndex, provider SDKs, durable workflows and MCP solve different pro... more
This episode separates two concepts that are often confused: state, which keeps track of what is happening now, and memory, which allows information from the past to become useful later. We explore how applications create continuity around a model, a... more
This episode breaks down what orchestration actually means, from sequencing and routing to retries, parallel execution and human approvals, and explores the different ways those flows can be managed. Most importantly, we separate orchestration from t... more
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I knew nothing about AI other than using AI chat boxes. Took an intro AI course and started listening to this. This podcast explains things so well, has such a nice vibe to it imo, honestly impressive. I figured I should comment — I really appreciate this podcast, Shay 🥹🌸
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The show centers on making complex AI topics approachable through vivid analogies, bite-sized explanations, and practical takeaways for professionals and curious listeners alike. Recent episodes emphasize retrieval-augmented generation (RAG), data ingestion, vector databases, embeddings, and search architectures, with a strong focus on enterprise applicability, practical guidance, and real-world workflows. The format likely attracts technically minded listeners—engineers, product leaders, and decision-makers—looking for approachable, actionable AI concepts without heavy theory. Notable strengths include a clear teaching style, use of concrete examples (e.g., enterprise knowledge bases, aviation maintenance workflows), and a consistent empha... more
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The AI Concepts Podcast launched 2 years ago and published 81 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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