

How to Build AI Apps That Just Work (ft Viabhav Gupta)
10 snips 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.
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Vaibhav's Deep Learning Journey
- Vaibhav Gupta initially doubted deep learning's efficacy, favoring mathematical approaches in computer vision.
- His perspective shifted after observing deep learning's dominance in CVPR papers around 2017.
Combining AI and Algorithms
- AI models offer flexibility but lack consistency, while algorithms provide consistency but lack flexibility.
- Combining both AI and algorithms creates the most sophisticated and effective systems.
BAML: A New Programming Language for AI
- BAML is a new programming language designed to improve the reliability and consistency of AI models, particularly LLMs.
- It addresses the inherent inconsistency of models while leveraging their flexibility, similar to how React or Tailwind improve upon existing web technologies.