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What does it do?

  • AI Production Management
  • AI Error Tracing
  • Custom AI Rule Deployment
  • Automated AI Dataset Generation
  • AI Performance Analytics

How is it used?

  • Integrate with 3 lines of code
  • trace and optimize AI.
  • 1. Integrate w/ 3 lines
  • 2. Trace LLM calls
  • 3. Write custom rules
See more

Who is it good for?

  • Machine Learning Engineers
  • Data Scientists
  • AI Product Managers
  • AI Development Teams
  • AI Operations Professionals

Details & Features

  • Made By

    Reprompt
  • Released On

    2024-10-24

Reprompt AI is a control panel designed for managing and optimizing production AI systems. It helps teams diagnose and address production AI issues efficiently without extensive coding, focusing on improving the quality and reliability of AI deployments to achieve high accuracy and performance.

Key features:
- Trace LLM Calls and Errors: Provides insights into large language model performance in production.
- Custom Rules: Allows writing and deployment of custom rules to manage AI behavior without code redeployment.
- Automatic Test Case Collection: Gathers test cases from production data for model evaluation and improvement.
- Trace Annotation with Microprompts: Converts traces into annotated datasets for evaluating new prompts and rules.
- Analytics and Data Replay: Offers comprehensive analytics, LLM tracing, and data replay capabilities for accuracy and performance evaluation.
- Automatic LLM and RAG Call Tracing: Logs all interactions with large language models and retrieval-augmented generation systems.
- Automated Dataset Generation: Creates datasets for AI model training and testing.

How it works:
1. Users integrate Reprompt AI with three lines of code.
2. Setup is completed in less than an hour.
3. Users begin collecting datasets, testing new prompts, and writing custom rules.
4. The platform interface allows for tracing LLM calls and errors.
5. Custom rules can be deployed without system redeployment.

Integrations:
Compatible with major AI frameworks and tools used for LLMs and RAG systems.

Use of AI:
Reprompt AI focuses on managing and optimizing large language models and retrieval-augmented generation systems. It uses AI for tracing, rule-writing, and dataset generation to enhance model performance and reliability.

AI foundation model:
The platform is designed to work with state-of-the-art AI technologies, including large language models and retrieval-augmented generation systems.

Target users:
- AI development teams
- Organizations managing production AI systems
- Teams requiring high accuracy and reliability in AI deployments
- Users seeking to minimize extensive coding and redeployment

How to access:
Reprompt AI is available as a web application and is currently in closed beta, working with a small group of early adopters. It is not open source and is available to a limited group of users in its beta phase.

Funding:
Reprompt AI is backed by investors including Y Combinator, Rebel Fund, and founders of Reddit, Cruise, Color, and Instacart.

  • Supported ecosystems
    Unknown
  • What does it do?
    AI Production Management, AI Error Tracing, Custom AI Rule Deployment, Automated AI Dataset Generation, AI Performance Analytics
  • Who is it good for?
    Machine Learning Engineers, Data Scientists, AI Product Managers, AI Development Teams, AI Operations Professionals

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