Boundary (YC W23)’s Post

🔍 BAML for structured extraction from LLMs I recently delved into a fascinating tool called BAML (Basically A Made-up Language, it's a real name), a solution for structured data extraction. BAML not only simplifies the coding process but also eliminates the frequent headache of language-specific discrepancies. Whether you’re coding in Python or TypeScript, BAML maintains consistent behavior, backed by robust type safety. For a deeper look into BAML, you can check out my blog post: https://lnkd.in/dnt2N-HT Why Use BAML? Utilizing BAML for structured data extraction from LLMs not only enhances code efficiency but also accelerates development cycles and improves outcomes in deploying AI-driven applications. By abstracting complex underlying interactions with language models, developers can focus more on application logic and less on the nuances of specific LLM APIs. Boundary (YC W23) Also --> https://lnkd.in/d5mu_f9J