08 Integrating AI into Products

• What is different for developing LLM-powered features?

  • Non-determinism: Outputs may vary for the same input.
  • Costly: Development and operation costs are high.
  • Slow: Processing times can be long.
  • Safety and Privacy: Sensitive information and how to handle it.
  • Testing: Difficulty in fully assessing and testing the performance.

• What is the user problem we are trying to solve?

• When is the AI "good enough"?

• How to monitor when it goes off track?

• When $1,000,000,000 is not enough

• We built this cool thing… can we ship it?
• Ok, we shipped… why aren’t people using it?
  • Discussion on why, even after launching, products may fail to gain traction or usage.
• Ok, we shipped… how do we know if it is helpful?
  • The next challenge: measuring if the shipped AI product is truly beneficial to users.
• Let’s try 50 different UIs
  • Suggests experimenting with multiple UIs to test user engagement and functionality.
• How do we enable other developers to ship AI?
  • Focuses on tools or frameworks that make it easier for developers to create and ship AI features.