Tool Use - AI Conversations
How to Build AI Apps That Just Work (ft Viabhav Gupta)
Mar 11, 2025
Viabhav Gupta, co-creator of BAML, dives into the future of AI application development. He explains how BAML revolutionizes programming by managing unreliable models with structured outputs. Gupta shares expert tips on prompt engineering to ensure clarity and effectiveness. Listeners gain insights into overcoming serialization challenges and the importance of real-time feedback in coding. He also shares reflections on the entrepreneurial landscape in AI, emphasizing team culture and passion in navigating tech ventures.
39:18
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Quick takeaways
- Rigorous testing of hundreds of prompts in AI applications enhances performance and fosters team collaboration for better results.
- BAML streamlines the development process for AI applications by providing a structured coding environment and automating data handling.
Deep dives
The Importance of Prompt Testing
To improve application performance and accuracy, rigorous prompt testing is essential. Applications should involve testing hundreds of prompts concurrently rather than just a few, encouraging team-wide participation in this process. Failing to adopt this approach may result in inferior system performance and an inability to compete effectively in the market. A strong emphasis is placed on iterating quickly and continuously refining prompts for better functionality.
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