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The Practical AI Digest: Daily Summaries Delivered
by Mo Bhuiyan via NotebookLM
Distilling AI/ML theory into practical insights. One concept at a time. No jargon.
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- 1 weeks ago20 min
Retrieval-Augmented Generation Is Broken: How to Fix It
RAG pipelines fail in production for structural reasons. We break down the five failure modes and what Agentic RAG, Self-RAG, and GraphRAG actually fix.
- 3 weeks ago20 min
Distillation: How Small Models Eat Big Models for Lunch
Training a frontier model costs millions. Distilling a capable student from it costs thousands. Knowledge distillation is quietly reorganizing the economics of the entire AI industry.
- Aug 13, 202619 min
World Models: When AI Learns Physics Instead of Memorizing Data
A language model can describe a falling glass. It cannot predict where the water goes. World models close the gap between AI that talks about reality and AI that can act in it.
- Jul 30, 202620 min
The Evaluation Crisis: We Do Not Know How Good Our Models Actually Are
MMLU is saturated. Chatbot Arena is gameable. Public benchmarks leak into training data. The only eval that matters is the one you build yourself, on your data, for your task.
- Jul 16, 202620 min
Mixture of Experts at the Edge: Running 30B Parameter Models on Your Laptop
A 30B parameter model runs on a MacBook because only 3B parameters fire per token. Mixture of Experts splits memory cost from compute cost, and that changes everything about where AI can run.
- Jul 2, 202621 min
The Agent Interoperability Problem: Why Your AI Agents Can Not Talk to Each Other
90% of enterprises deploy AI agents. Only 23% scale them. The gap is interoperability. Three protocols, MCP, A2A, and ACP, are racing to build the connective tissue before the ecosystem fragments.
- Jun 18, 202621 min
KV Cache Compression: The Memory Wall Nobody Talks About
Your GPU is not compute-bound. It is memory-bound. The KV cache is eating half your inference budget, and two ICLR 2026 breakthroughs KVTC and TurboQuant are about to change the math entirely.
- Jun 4, 202621 min
Context Rot: Why Million-Token Windows Quietly Fail
Models advertise million-token windows but accuracy degrades well before the limit. Three recent studies, the mechanisms behind the rot, and a practitioner playbook for what to do Monday.
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Distilling AI/ML theory into practical insights. One concept at a time. No jargon.
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