LLM Outputs is a tool designed to ensure the accuracy and reliability of structured data generated by large language models (LLMs). It detects and remediates incorrect structured data, preventing format errors, eliminating data fabrication (hallucinations), and maintaining contextual accuracy. The platform integrates seamlessly into existing systems via code snippets, allowing for real-time monitoring and alerts. It supports various data formats (JSON, CSV, XML) and offers free and enterprise pricing plans.
• effortless integration
• low latency for real-time corrections
• superior hallucination detection models
LLM Outputs is designed to ensure the accuracy and integrity of structured data, such as JSON or CSV, generated by AI models. It helps you avoid errors and inconsistencies by validating your data against predefined schemas, making your AI operations more reliable and efficient.
Yes, LLM Outputs can easily be integrated into your existing data pipeline. It works alongside your current tools to validate and clean up structured data, ensuring everything is accurate before it moves to the next stage of your workflow.
LLM Outputs supports various types of structured data, including JSON, CSV, and other common formats used in AI and data operations. It’s designed to be flexible and adapt to the specific needs of your data environment.
LLM Outputs supports various types of structured data, including JSON, CSV, and other common formats used in AI and data operations. It’s designed to be flexible and adapt to the specific needs of your data environment.
LLM Outputs supports various types of structured data, including JSON, CSV, and other common formats used in AI and data operations. It’s designed to be flexible and adapt to the specific needs of your data environment.
LLM Outputs supports various types of structured data, including JSON, CSV, and other common formats used in AI and data operations. It’s designed to be flexible and adapt to the specific needs of your data environment.
LLM Outputs supports various types of structured data, including JSON, CSV, and other common formats used in AI and data operations. It’s designed to be flexible and adapt to the specific needs of your data environment.
• Core tooling, observability, and analytics
• Access to all LLM features
• Support for all model providers
• Free models and experimenting with models
• Continuous monitoring
• 10,000 cycles per week
• Custom integration with your own app
• Vulnerability scanning
• Everything in Free Plan Plus
• Team sharing and collaboration
• Centralized security and compliance dashboard
• SSO and access control
• SOC2 compliance
• On-premise or private cloud deployment
• Priority support
• SLA guarantees
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