GenAI Apps: Our Journey from Ideas to Production Excellence
summary
A technical founder describes building and scaling GenAI-centric applications beyond simple GPT wrappers, sharing hands-on experience taking projects from 0 to 1. The talk covers engineering challenges and solutions for deploying LLM-based and image-generative apps, plus the strategic tools, methodologies, and lessons learned when presenting these services to end users.
AI-written summary · about
chapters (11)
- 0:00GenAI apps intro
- 3:40Image generation apps
- 8:48Image generation issues
- 15:30Group avatar complexity
- 21:37Hosting and scaling
- 23:25LLM chatbots creation
- 25:10Chatbot security
- 27:21RAG for better answers
- 30:10Speed optimization
- 33:03Model quality evaluation
- 35:33AI tools for devs
related talks
23mScaling GenAI Applications and Agentic AI for Business Competitive Differentiation
33mThe Future of Developer Experience with GenAI: Driving Engineering Excellence
41mTalking to your applications: Generative AI...
35mInnovating Teams Through Gen AI
33mCompose GenAI Apps: May the Force Be with Your Data and Models
22mLearning to Apply Generative AI at Enterprise Level
40mInnovate and Scale Your Generative AI Use Cases
20mBeyond the Buzz: Discovering High-Impact Use Cases in the Generative AI Era