Summary of How To Build AI Products That Don't Flop

The video "How To Build AI Products That Don't Flop" discusses effective strategies for developing successful AI Products. The speaker emphasizes the importance of creating real technology rather than relying solely on Generative AI models, which can be prone to inaccuracies and mislead users. Here are the key points and strategies shared:

Main Financial Strategies and Business Trends:

Methodology/Step-by-Step Guide:

  1. Identify a Specific Problem: Start by understanding the needs of your target audience and what problems they face.
  2. Build a Solid Foundation: Create a robust product or technology before integrating AI capabilities.
  3. Focus on Junior-Level Tasks: Begin with automating simpler, repetitive tasks often handled by junior developers.
  4. Train Custom Models: Instead of relying on existing large language models (LLMs), train specialized models tailored to your specific use case.
  5. Iterate Based on Feedback: Continuously refine the product based on user input and real-world testing.
  6. Ensure Determinism: Develop systems that provide consistent outputs by mapping designs to existing code components accurately.

Conclusion:

The speaker advocates for a cautious, well-planned approach to AI product development, emphasizing the importance of real technology and user feedback. The goal is to create products that effectively solve specific problems and provide genuine value to users.

Presenters/Sources:

Notable Quotes

03:07 — « You don't want the llm to be the brains of your product because when you need to add some new feature that llms aren't good at, you're left without options. »
07:12 — « Bill Gates has a very good quote about this that we always overestimate the change that will occur in the next 2 years and underestimate the change that will occur in the next 10. »
07:20 — « AI is phenomenal technology but llms are not going to solve all of your problems tomorrow. »
07:43 — « While other people try to boil the ocean and ultimately fail, whether you're building new products or new features in existing products, you have a strong path to succeed. »

Category

Business and Finance

Video