All Episodes
The Practical AI Digest — 18 episodes
AI Hardware: GPUs, TPUs and Beyond
Synthetic Data: Artificial Data for Real Insights
Explainable AI: Opening the Black Box
Aligning AI with Human Intent: RLHF in Action
AI for Code: How Models Write Software
Multimodal Models: Combining Vision, Language, and More
Efficient Fine-Tuning: Adapting Large Models on a Budget
Diffusion Models: AI Image Generation Through Noise
Graph Neural Networks: Learning from Connections, Not Just Data
Neuro-Symbolic AI: Combining Learning With Logic
LLMs in Chip Design: How AI Is Entering the Hardware Workflow
How Embeddings and Vector Databases Power Generative AI
Agentic AI: What Happens When Models Start Acting
Understanding Attention: Why Transformers Actually Work
Markov Chains, Monte Carlo, and HMC: A Deep Dive
The Model Context Protocol (MCP): Making LLMs Actually Useful
Generative Adversarial Networks (GANs) Explained: From DL Basics to Real-World Training Tips
Bayesian vs. Frequentist Thinking in Marketing Mix Modeling