Podcast
Practical AI: Machine Learning, Data Science, LLM
Browse the latest analyzed episodes and get the central ideas before committing to a full listen.
Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations
Latest analyzed episodes
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Cognitive Synthesis and Neural Athletes
AI incidents, audits, and the limits of benchmarks
Email like a superhuman
Model Context Protocol Deep Dive
Seeing beyond the scan in neuroimaging
Open source AI to tackle your backlog
Orchestrating agents, APIs, and MCP servers
Software and hardware acceleration with Groq
Video generation with realistic motion
Full-duplex, real-time dialogue with Kyutai
Issues
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TL;DL AI Digest 2026-05-11
TL;DL AI Digest 2026-05-03
Are Models Building Products — And Breaking Things?
RFT & MCP
AI model scaling, enterprise AI adoption, AI agent orchestration, modular AI systems, human-AI collaboration
AI Infra: How Replit and Groq are Democratizing AI Development
AI startups, Technical expertise, Human agency, Realistic motion, Video generation advancements
AI in DevOps and Cybersecurity
Perplexity and You.com: the AI Search before ChatGPT Search
AI-driven translation, Specialized language models, Trustworthy AI frameworks, Synchronous translation, Managing AI risks
AI's 40-Year Journey|a16z, The Death of Big Data|MotherDuck
The AI Content Creators: Inside NotebookLM and HeyGen's Innovations
Synthetic Data Utilization, AI-Domain Collaboration, Instruction Tuning, Open-Source AI, AI Democratization
Graph databases, AI strategy, Product leadership, Commoditization of models, Employee performance evaluation
14 issues for this show