Today's guest, Vaibhav Gupta, has developed BAML, the programming language for AI. If you are calling LLMs, you've gotta check BAML out for instant accuracy improvements and big (20-30%) cost savings.
More on charming and terrifically brilliant Vaibhav:
Founder & CEO of Boundary (YC W23), a Y Combinator-backed startup that has developed a new programming language (BAML) that makes working with LLMs easier and more efficient for developers.
Across his decade of experience as a software engineer, he built predictive pipelines and real-time computer vision solutions at Google, Microsoft and the renowned hedge fund The D. E. Shaw Group.
Holds a degree in Computer Science and Electrical Engineering from The University of Texas at Austin.
This is a relatively technical episode. The majority of it will appeal to folks who interact with LLMs or other model APIs hands-on with code.
In today’s information-dense episode, Vaibhav details:
How his company pivoted 13 times before settling upon developing a programming language for A.I.
Why creating a programming language was "really dumb" but why it’s turning out to be brilliant, including by BAML already saving companies 20-30% on their AI costs.
Fascinating parallels between today's A.I. tools and the early days of web development.
His unconventional hiring process (I’ve never heard of anything remotely close to it) and the psychology behind why it works.
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