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BoundaryML
An Expressive Language for Structured Text Generation

What is BoundaryML?

BoundaryML (BAML) is a specialized language built to improve the reliability and structure of text generated by Large Language Models (LLMs). It addresses common issues such as broken JSON output and inconsistent formatting, offering a more robust solution for developers.

BAML provides tools and features designed specifically for interacting with LLMs. These features include JSON error correction, schema coercion, and advanced function-calling capabilities, which are benchmarked to improve performance with models like GPT-3.5. BAML offers a streamlined syntax that simplifies prompt engineering, enabling type-safety and easier integration in multiple programming languages.

Features

  • JSON Error Correction: Fixes common JSON errors like trailing commas and unescaped quotes.
  • Schema Coercion: Ensures LLM output conforms to a predefined schema.
  • Function-Calling: Enables function-calling for various models, improving results.
  • Type-Safety: Provides type-safety features when integrating with different programming languages.
  • Dynamic Prompts: Transforms prompt engineering to coding with dedicated syntax.
  • Static Analysis: Enables easier, more reliable prompting
  • Multimodal Inputs: Offers support for multimodal inputs.

Use Cases

  • Developing AI applications requiring structured data from LLMs.
  • Improving the reliability of LLM outputs in production environments.
  • Streamlining the prompt engineering process.
  • Integrating LLMs with existing systems requiring specific data formats.

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