What Building Real AI Products Is Teaching Me
What happened
Building real-world AI products reveals that the model itself is only one component of a successful solution, with reliable AI products needing to fit existing business processes and handle incomplete user information. Industry leaders emphasize that successful AI product development hinges on integrating AI into existing workflows and building robust retrieval layers.
Why it matters
AI Product Managers should shift their focus from selecting the 'best' foundational model to meticulously designing and optimizing the retrieval layer and integrating AI seamlessly into existing user workflows to build trustworthy and reliable applications.
Topics
- AI Product Development
- Conversational AI
- Large Language Models
- Workflow Integration
Articles in this trend
- What Building Real AI Products Is Teaching Me — LLM on Medium
- Saturday Morning. Two Coffees. And AI Finally Clicked… — Machine Learning on Medium
- Why AI Still Gets Things Wrong: Understanding the Limits of Large Language Models — AI on Medium
- Nobody Asks How Deep the Iceberg Goes — LLM on Medium
- AI: Zooming Out — What the Data Actually Tells Us About the Biggest Technological Shift of Our Time. — Data Science on Medium