The Practical AI Digest
A generative AI-powered podcast by M Mostagir Bhuiyan. Each episode distills advanced AI/ML topics into real-world insights for practitioners.
About the Podcast
The Practical AI Digest is built using NotebookLM to synthesize research papers, technical reports, and industry developments into conversational episodes. The format is designed for engineers and technical leaders who want to stay current on AI/ML without reading every paper. Episodes cover topics from model architecture and training techniques to deployment patterns and infrastructure decisions.
Hosted by M Mostagir Bhuiyan, the podcast draws on hands-on experience building AI infrastructure, writing research on retrieval-augmented generation and micro-containerization, and leading cloud platform teams.
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Episodes
Context Rot: Why Million-Token Windows Quietly Fail
June 4, 2026
Models advertise million-token windows but accuracy degrades well before the limit. Three recent studies, the mechanisms...
LLMOps: Operating Large Language Models in Production
May 26, 2026
Building an AI model is one thing: keeping a large language model running reliably in the real world is another. In this...
TinyML & Edge AI: Machine Learning on Devices
May 12, 2026
In this episode, we explore how AI is moving from the cloud to tiny devices. TinyML is the field of optimizing models an...
AI Hardware: GPUs, TPUs and Beyond
April 28, 2026
This episode is all about the specialized hardware that makes modern AI possible. We explain how GPUs became the workhor...
Synthetic Data: Artificial Data for Real Insights
April 14, 2026
In this episode, we explore how synthetic data is created and used to improve AI models. Synthetic data refers to artifi...
Explainable AI: Opening the Black Box
March 31, 2026
In this episode, we look at how researchers are making AI models more transparent and interpretable. We discuss techniqu...