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Episodes


State Space Models for Realtime Multimodal Intelligence: Karan Goel

Second Order Effects of AI: Cheng Lou

Build an AI Research Agent: Apoorva Joshi

The Multimodal Future of Education: Stefania Druga

Productionizing GenAI Models โ Lessons from the world's best AI teams: Lukas Biewald

Code Generation and Maintenance at Scale: Morgante Pell

The Hierarchy of Needs for Training Dataset Development: Chang She and Noah Shpak

No more bad outputs with structured generation: Remi Louf

Realtime Data Connectivity for AI: Tanmai Gopal

Architecting and Testing Controllable Agents: Lance Martin

Breaking AI's 1-GHz Barrier: Sunny Madra (Groq)

Making Open Models 10x faster and better for Modern Application Innovation: Dmytro (Dima) Dzhulgakov

We accidentally made an AI platform: Jamie Turner
Convex aims to replace traditional backend engineering by extending the functional reactive paradigm of frontend frameworks like React into the server. By pervasively tracking data flow and dependencies, the platform eliminates the need for manual cache invalidation, polling, and custom push mechanisms, allowing develo...

Building and Scaling an AI Agent Swarm of low latency real time voice bots: Damien Murphy

The era of unbounded products: Designing for Multimodal IO: Ben Hylak

Everything you need to know about Fine-tuning and Merging LLMs: Maxime Labonne

LLM Scientific Reasoning: How to Make AI Capable of Nobel Prize Discoveries: Hubert Misztela

How to Construct Domain Specific LLM Evaluation Systems: Hamel Husain and Emil Sedgh

From model weights to API endpoint with TensorRT LLM: Philip Kiely and Pankaj Gupta
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