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The Practical AI Digest

Mo Bhuiyan via NotebookLM
Machine Learning
Artificial Intelligence
Generative Adversarial Networks
Graph Neural Networks
AI and Machine Learning
Image Generation
Agentic AI
Impact-E Framework
Loss Functions
Data Preparation
Data Structures
Large Language Models
Marketing Mix Modeling
Hyperparameters
Reinforcement Learning
AI Applications
Tool Use
Chip Design
Navigation Systems
Natural Language Processing

Distilling AI/ML theory into practical insights. One concept at a time. No jargon.

PublishesTwice monthlyEpisodes10Founded7 months ago
Category
Technology

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Latest Episodes

This episode breaks down what graph neural networks (GNNs) are and why they matter. You’ll learn how GNNs use nodes and edges to represent relationships and how message passing lets models make sense of social, biological, and networked data. We’ll a... more

In this episode, we explain what neuro-symbolic AI is and why it matters. You’ll learn how neural networks handle patterns, how symbolic systems handle rules, and how combining the two can help models reason more reliably. We also cover real examples... more

In this episode, we look at how large language models are being used in chip and hardware design. We break down what LLM-aided design actually means, how models can generate HDL code, assist with testbench creation, and even support formal verificati... more

This episode explains how embedding models turn language into numerical vectors and how vector databases like Pinecone, FAISS, or Weaviate store and search those vectors efficiently. You'll learn how this system enables GenAI models to retrieve relev... more

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How Embeddings and Vector Databases Power Generative AI
Q: How do we extract information from video content effectively?
The extraction process starts with automatic speech recognition to transcribe audio and then key visual frames are identified for further processing.
How Embeddings and Vector Databases Power Generative AI
Q: Let's talk about Retrieval Augmented Generation, or RAG.
RAG is crucial for allowing AI models to pull in current specific information rather than just relying on prior training.

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Frequently Asked Questions About The Practical AI Digest

What is The Practical AI Digest about and what kind of topics does it cover?

This podcast provides insights into artificial intelligence (AI) and machine learning (ML) by breaking down complex concepts into practical knowledge that can be easily understood. Topics discussed range from foundational technologies like generative adversarial networks and large language models to newer advancements such as neuro-symbolic AI and agentic AI. Each episode aims to demystify AI methodologies and explore their applications and implications across various fields, including healthcare, marketing, and hardware design. The unique approach avoids jargon and focuses on making technical subjects accessible to a wider audience, appealing particularly to both professionals in the tech industry and curious listeners interested in the ev... more

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1. Data Science Interview Prep

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The Practical AI Digest launched 7 months ago and published 10 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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