The Practical AI Digest
By Mo Bhuiyan via NotebookLM
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Image by Mo Bhuiyan via NotebookLM
Category: Technology
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Episodes: 22
Description
Distilling AI/ML theory into practical insights. One concept at a time. No jargon.
| Episode | Date |
|---|---|
|
KV Cache Compression: The Memory Wall Nobody Talks About
|
Jun 18, 2026 |
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Context Rot: Why Million-Token Windows Quietly Fail
|
Jun 04, 2026 |
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LLMOps: Operating Large Language Models in Production
|
May 26, 2026 |
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TinyML & Edge AI: Machine Learning on Devices
|
May 12, 2026 |
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AI Hardware: GPUs, TPUs and Beyond
|
Apr 28, 2026 |
|
Synthetic Data: Artificial Data for Real Insights
|
Apr 14, 2026 |
|
Explainable AI: Opening the Black Box
|
Mar 31, 2026 |
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Aligning AI with Human Intent: RLHF in Action
|
Mar 17, 2026 |
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AI for Code: How Models Write Software
|
Mar 03, 2026 |
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Multimodal Models: Combining Vision, Language, and More
|
Feb 17, 2026 |
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Efficient Fine-Tuning: Adapting Large Models on a Budget
|
Feb 03, 2026 |
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Diffusion Models: AI Image Generation Through Noise
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Jan 20, 2026 |
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Graph Neural Networks: Learning from Connections, Not Just Data
|
Sep 30, 2025 |
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Neuro-Symbolic AI: Combining Learning With Logic
|
Sep 16, 2025 |
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LLMs in Chip Design: How AI Is Entering the Hardware Workflow
|
Sep 02, 2025 |
|
How Embeddings and Vector Databases Power Generative AI
|
Aug 19, 2025 |
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Agentic AI: What Happens When Models Start Acting
|
Aug 05, 2025 |
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Understanding Attention: Why Transformers Actually Work
|
Jul 22, 2025 |
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Markov Chains, Monte Carlo, and HMC: A Deep Dive
|
Jul 08, 2025 |
|
The Model Context Protocol (MCP): Making LLMs Actually Useful
|
Jun 24, 2025 |
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Generative Adversarial Networks (GANs) Explained: From DL Basics to Real-World Training Tips
|
Jun 10, 2025 |
|
Bayesian vs. Frequentist Thinking in Marketing Mix Modeling
|
May 27, 2025 |