

Unleashing the Power of BAML in LLM Applications
Nov 7, 2024
Vaibhav Gupta, CEO and co-founder of Boundary, discusses BAML, an open-source language designed to enhance interactions with large language models. He delves into the vital role of data quality in retrieval augmented generation and shares insights on improving model accuracy through error correction techniques. Gupta highlights BAML's practical applications for data extraction from unstructured sources, emphasizing its efficiency over traditional formats. The conversation reveals how BAML can transform various industries by streamlining workflows and boosting developer productivity.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Intro
00:00 • 2min
Navigating Challenges in Data Quality for Retrieval Augmented Generation
02:29 • 2min
Harnessing BAML for Data Extraction
04:30 • 16min
Optimizing LLM Accuracy and Efficiency with Error Correction
20:04 • 2min
Harnessing Information Extraction from Diverse Data Formats
21:49 • 2min
Unlocking BAML for LLM Applications
23:20 • 14min
Harnessing BAML for Effective LLM Development
36:57 • 9min