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Episodes


Engineering Better Evals: Scalable LLM Evaluation Pipelines That Work — Dat Ngo, Aman Khan, Arize

To the moon! Navigating deep context in legacy code with Augment Agent — Forrest Brazeal, Matt Ball

Serving Voice AI at Scale — Arjun Desai (Cartesia) & Rohit Talluri (AWS)

Ship it! Building Production Ready Agents — Mike Chambers, AWS

Introducing Strands Agents, an Open Source AI Agents SDK — Suman Debnath, AWS

Data is Your Differentiator: Building Secure and Tailored AI Systems — Mani Khanuja, AWS

How to build world-class AI products — Sarah Sachs (AI lead @ Notion) & Carlos Esteban (Braintrust)

From Mixture of Experts to Mixture of Agents with Super Fast Inference - Daniel Kim & Daria Soboleva
The podcast is a workshop and Q&A session led by Daria Soboleva and Daniel Kim from Cerebras. They introduce the concept of Mixture of Experts and Mixture of Agents, explaining how these architectures improve large language models. The workshop involves a hands-on activity where attendees build an application using Mix...

Forget RAG Pipelines—Build Production Ready Agents in 15 Mins: Nina Lopatina, Rajiv Shah, Contextual

Milliseconds to Magic: Real‑Time Workflows using the Gemini Live API and Pipecat

Realtime Conversational Video with Pipecat and Tavus — Chad Bailey and Brian Johnson, Daily & Tavus

Vector Search Benchmark[eting] - Philipp Krenn, Elastic

Taming Rogue AI Agents with Observability-Driven Evaluation — Jim Bennett, Galileo

Building agent fleet architectures your CISO doesn't hate — Lou Bichard, Gitpod

Don’t get one-shotted: Use AI to test, review, merge, and deploy code — Tomas Reimers, Graphite

Effective agent design patterns in production — Laurie Voss, LlamaIndex

Foundry Local: Cutting-Edge AI experiences on device with ONNX Runtime/Olive — Emma Ning, Microsoft

[Full Workshop] Vibe Coding at Scale: Customizing AI Assistants for Enterprise Environments

Unlocking AI Powered DevOps Within Your Organization — Jon Peck, GitHub
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