Boundary ML's BAML is an expressive language designed for structured text generation, aiming to simplify and improve the reliability of prompting large language models (LLMs). It offers features like JSON error correction, handling issues such as trailing commas and unquoted keys. BAML boasts state-of-the-art results in function-calling benchmarks, surpassing other models and techniques. The tool includes a VSCode playground for testing and a community-supported environment. It's available in a free version and an enterprise version with additional MLOps features, such as SLA guarantees and dedicated support.
• json error correction
• dynamic prompts
• multimodal inputs
• static analysis
• schema coercion
• llm yapping immunity
• function-calling for various models
• structured data extraction from llms
• Get structured data from LLMs reliably
• VSCode playground testing, with multimodal capabilities
• VSCode playground real-time prompt preview
• Community support via Discord and Github
• SLA guarantees
• Dedicated Slack channel
• Architectural reviews with our experienced AI engineers
• Prioritized feature requests
• Access to Boundary Studio
• Boundary Studio includes observability, data labeling, fine-tuning engineering support and more
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