Completed
Whether you call it a workflow or an agent, AI engineered applications are seeing user-input:LLM-call ratios go from 1:1 ChatGPT to 1:100 Deep Research, Codex and even 0:n Ambient/Proactive agents. H…
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Designing AI-Intensive Applications
Automatically move to the next video in the Classroom when playback concludes
- 1 Whether you call it a workflow or an agent, AI engineered applications are seeing user-input:LLM-call ratios go from 1:1 ChatGPT to 1:100 Deep Research, Codex and even 0:n Ambient/Proactive agents. H…
- 2 00:00 Conference Welcome and Overview
- 3 00:42 Conference Logistics and Growth
- 4 01:47 Audience Preferences and Survey
- 5 02:22 Innovations in AI Engineering MCP and Chatbots
- 6 02:58 Evolution of AI Engineering Past Talks
- 7 03:50 Simplicity in AI Engineering
- 8 04:17 AI Engineering as a Developing Field
- 9 05:23 Seeking the "Standard Model" in AI Engineering
- 10 06:02 Candidate Standard Models in AI Engineering
- 11 09:26 Human Input vs. AI Output AI News Example
- 12 11:05 SPADE Model for AI-Intensive Applications
- 13 12:29 Call to Action for Conference Attendees
