The AI Concepts Podcast
By Sheetal ’Shay’ Dhar
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Image by Sheetal ’Shay’ Dhar
Category: Technology
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Episodes: 77
Description
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’re a tech enthusiast, business leader, technologist or just curious, my episodes bridge the gap between cutting-edge AI and everyday understanding. Dive in and let your imagination bring these concepts to life!
| Episode | Date |
|---|---|
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Module 7: The LLM Application Loop
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Aug 21, 2026 |
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Module 7: Why Do We Need LLM Frameworks?
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Aug 19, 2026 |
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Module 7: Building LLM Applications | What Is an LLM Application, Really?
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Aug 19, 2026 |
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Module 6: RAG | Long Context vs RAG - Do You Still Need Retrieval at All
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Jun 12, 2026 |
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Module 6: RAG | GraphRAG - When Relationships Matter More Than Text
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Jun 10, 2026 |
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Module 6: RAG | Query Transformation - When the Question Is the Bottleneck
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Jun 10, 2026 |
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Module 6: RAG | Parent-Child Indexing - Search Small, Retrieve Big
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Jun 10, 2026 |
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Module 6: RAG | Reranking - The Second Stage That Gets Retrieval Right
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Jun 10, 2026 |
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Module 6: RAG | Dense and Sparse Search - Why Vector Search Alone Is Not Enough
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Jun 10, 2026 |
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Module 6: RAG | Chunking - Where You Cut Decides What Gets Found
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Apr 29, 2026 |
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Module 6: RAG | Data Ingestion - Before Your Documents Can Be Found
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Apr 27, 2026 |
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Module 6: RAG | Vector Databases - Where That Meaning Gets Stored
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Apr 27, 2026 |
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Module 6: RAG | Embeddings - Teaching Machines to Understand Meaning
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Apr 27, 2026 |
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Module 6: The RAG Pipeline - End to End
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Apr 25, 2026 |
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Module 6: What is RAG and Why it Exists
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Apr 25, 2026 |
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Module 5: Reasoning Models
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Apr 17, 2026 |
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Module 5: Structured Output and the Language of Software
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Apr 17, 2026 |
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Module 5: System Prompts and the Invisible Rules
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Apr 17, 2026 |
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Module 5: Chain of Thought Prompting
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Apr 17, 2026 |
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Module 5: In-Context Learning, Zero-Shot, and Few-Shot Prompting
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Apr 08, 2026 |
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Module 5: Prompt Engineering - How Decoding and Sampling Work
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Apr 08, 2026 |
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Do Business Leaders Really Need to Understand the Mechanics of AI?
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Apr 08, 2026 |
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Module 4: Quantization - Shrinking Models Without Breaking Them
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Feb 25, 2026 |
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Module 4: Optimization - The GPU Memory Bottleneck
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Feb 24, 2026 |
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Module 3: Reinforcement Learning from Human Feedback
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Feb 20, 2026 |
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Module 3: Supervised Fine Tuning
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Feb 20, 2026 |
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Module 3: Context Windows & Attention Complexity
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Jan 26, 2026 |
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Module 3: The Lifecycle of an LLM : Pre-Training
|
Jan 25, 2026 |
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Module 2: The MLP Layer - Where Transformers Store Knowledge
|
Jan 06, 2026 |
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Module 2: The Encoder (BERT) vs. The Decoder (GPT)
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Jan 05, 2026 |
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Module 2: Multi Head Attention & Positional Encodings
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Jan 05, 2026 |
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Module 2: Inside the Transformer -The Math That Makes Attention Work
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Jan 03, 2026 |
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Module 2: Attention Is All You Need (The Concept)
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Jan 03, 2026 |
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Module 2: The Transformer Architecture: History - The Bottleneck That Broke Language Models
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Jan 03, 2026 |
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Module 1: Tokens - How Models Really Read
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Dec 13, 2025 |
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Module 1: The Autoregressive Assumption | How Language Emerges in AI
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Dec 13, 2025 |
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Module 1: The Latent Space & Manifolds | How Models Encode Meaning
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Dec 13, 2025 |
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Module 1: The Generative Turn (Discriminative vs. Generative)
|
Dec 13, 2025 |
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Intro to The Generative AI Series
|
Dec 13, 2025 |
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Deep Learning Series: Autoencoders
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Jul 17, 2025 |
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Deep Learning Series: Transformers
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Jul 17, 2025 |
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Deep Learning Series: Attention Mechanism
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Jul 17, 2025 |
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Deep Learning Series: Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU)
|
Apr 13, 2025 |
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Deep Learning Series: Recurrent Neural Network
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Apr 13, 2025 |
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Deep Learning Series: Convolutional Neural Network
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Apr 13, 2025 |
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Deep Learning Series: What is Batch Normalization?
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Apr 13, 2025 |
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Deep Learning Series: Advanced Optimizers Part II - RMSprop and ADAM
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Apr 11, 2025 |
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Deep Learning Series: Advanced Optimizers - SGD and SGDM
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Apr 11, 2025 |
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Deep Learning Series: What is Gradient Descent?
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Apr 10, 2025 |
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Deep Learning Series: What is Backpropagation?
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Apr 09, 2025 |
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Deep Learning Series: What is a Feedforward Neural Network?
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Apr 08, 2025 |
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Deep Learning Series: What is a Neural Network?
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Apr 07, 2025 |
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Deep Learning Series : What is Deep Learning?
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Apr 07, 2025 |
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Markov Decision Processes (MDPs): The Framework Behind Smart Decision-Making in AI
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Jan 30, 2025 |
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Gradient Descent Explained: How ML Models Learn to Optimize
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Jan 29, 2025 |
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Principal Component Analysis: What It Is and How It Works
|
Jan 28, 2025 |
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What is K-Nearest Neighbors and How Does It Work?
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Jan 27, 2025 |
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What Is K-Means Clustering and How Does It Work?
|
Dec 20, 2024 |
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What Is Support Vector Machine and How Does It Work?
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Dec 20, 2024 |
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What Are Ensemble Methods and How They Work ?
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Dec 20, 2024 |
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What Is Random Forest and How Does it Work?
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Dec 20, 2024 |
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What Is a Decision Tree and How Does It Work?
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Dec 20, 2024 |
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What is Logistic Regression and How Does It Work?
|
Dec 15, 2024 |
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What Is Linear Regression and How Does It Work?
|
Dec 15, 2024 |
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Machine Learning Series: The Machine Learning Workflow
|
Dec 10, 2024 |
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AI Essentials Series - Precision, Recall, F1 Score, ROC and AUC
|
Nov 21, 2024 |
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AI Essentials Series - Evaluating AI Models: The Accuracy Trap
|
Nov 21, 2024 |
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AI Essentials Series - How do AI Models Learn?
|
Nov 06, 2024 |
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AI Essentials Series - Classification Vs Regression in Machine Learning
|
Nov 06, 2024 |
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AI Essentials Series - What is Reinforcement Learning?
|
Nov 05, 2024 |
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AI Essentials Series - What is Unsupervised Learning?
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Nov 04, 2024 |
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AI Essentials Series - What is Supervised Learning?
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Nov 03, 2024 |
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AI Essentials Series - Understanding Data, Algorithms, and Compute
|
Nov 02, 2024 |
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AI Essentials Series - AI vs. Machine Learning vs. Deep Learning: Key Differences Explained
|
Nov 01, 2024 |
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AI Essentials Series - The Evolution of AI
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Oct 31, 2024 |
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AI Essentials Series - What is AI?
|
Oct 30, 2024 |
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Welcome: Who Should Listen to This Podcast
|
Oct 29, 2024 |