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.
