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AI Engineer (full channel)

Every upload from the AI Engineer channel, tracked daily. The pool that curated collections split off from.

1199 videos · refreshed 3 hours ago

Event 8
Track 17
  1. 376 ↓2

    Voice Agent Engineering — Nik Caryotakis, SuperDial

    10.4K views 235 likes 7 comments

  2. 377 ↑1

    Where RL Will Take Search — Maximilian-David Rumpf, SID.ai

    10.3K views 51 likes 13 comments

  3. 378 ↓3
  4. 379 ↓3

    Building Interactive UIs in VS Code with MCP Apps — Marlene Mhangami & Liam Hampton, GitHub

    10.2K views 179 likes 5 comments

  5. 380 ↑1

    It’s Tokens All The Way Down: How RLMs are Different — Kevin Madura, AlixPartners

    10.2K views 74 likes 1 comments

  6. 381 ↓4

    SOTA Generative Media Panel — Dumitru Erhan, Shane Gu & Nicole Brichtova, Google DeepMind

    10.2K views 29 likes 4 comments

  7. 382 ↓3

    Don't Build Slop (4 Levels of AI Agent Maturity) - Ara Khan, Cline

    10.1K views 180 likes 4 comments

  8. 383 ↓3

    Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan

    10.1K views 259 likes 8 comments

  9. 384 ↓2

    Anthropic in the Enterprise — Alexander Bricken & Joe Bayley

    10.1K views 172 likes 12 comments

  10. 385 ↓2

    How to Build Planning Agents without losing control - Yogendra Miraje, Factset

    10.1K views 223 likes 4 comments

  11. 386 ↓2

    Engineering voice agents: Latency, quality, and scale — Rishabh Bhargava, Together AI

    10K views 247 likes 8 comments

  12. 387 ↓2

    Stateful Agents — Full Workshop with Charles Packer of Letta and MemGPT

    9.9K views 211 likes 6 comments

  13. 388 ↓2

    Tribal Dungeons of Global Shipping: AI Agents at Global Scale — Dmitry Buykin, Maersk

    9.8K views 35 likes 2 comments

  14. 389 ↓2

    Beyond the Lethal Trifecta: Agentic Commerce on the Open Internet — David Levine, Kiduna Club

    9.8K views 31 likes 8 comments

  15. 390 ↑77

    What's New in Inference Engineering — Philip Kiely, Baseten

    9.7K views 47 likes 2 comments

  16. 391 ↓3

    Building Agent Interfaces: Lessons from Chrome DevTools (MCP) for Agents — Michael Hablich, Google

    9.7K views 143 likes 1 comments

  17. 392 ↓2

    From coding to Knowledge work agents — Karan Vaidya, Composio

    9.7K views 50 likes 8 comments

  18. 393 ↓4

    Evaluating Domain Specific LLMs for Real World Finance — Waseem Alshikh, Writer

    9.6K views 212 likes 5 comments

  19. 394 ↓3

    Why building eval platforms is hard — Phil Hetzel, Braintrust

    9.6K views 194 likes 7 comments

  20. 395 ↓3

    Vibe Engineering Effect Apps — Michael Arnaldi, Effectful

    9.6K views 194 likes 10 comments

  21. 396 ↓3

    From Software Developer to AI Engineer: Antje Barth

    9.5K views 210 likes 6 comments

  22. 397 ↓3

    Why Eval++ Is the Next Great Compute Primitive — Sunil Pai & Matt Carey, Cloudflare

    9.5K views 183 likes 14 comments

  23. 398 ↓3

    Netflix's Big Bet: One model to rule recommendations: Yesu Feng, Netflix

    9.5K views 206 likes 6 comments

  24. 399 ↓3

    Architecting and Testing Controllable Agents: Lance Martin

    9.5K views 254 likes 12 comments

  25. 400 ↓3

    How to look at your data — Jeff Huber (Chroma) + Jason Liu (567)

    9.5K views 203 likes 4 comments