About
Parea AI is a platform designed for tracking experiments and collecting human annotations to aid in the production of LLM applications. It offers features like experiment tracking, observability, and human review, allowing teams to evaluate and improve their AI systems over time. With options for debugging, human feedback collection, and prompt testing, Parea enables users to refine models by collecting logs and fine-tuning datasets. Additionally, it offers easy integration with major LLM providers and supports a thorough data management lifecycle, facilitating prompt deployment and performance tracking.
Competitive Advantage
Native integrations with major LLM providers and a comprehensive feature set for managing model evaluations.
Use Cases
Pros
- Comprehensive experiment tracking
- Rich human annotation features
- Native integration with major LLMs
- Prompt testing and deployment
Cons
- Limited to teams using LLMs
- May require advanced technical skills to fully utilize
- Potential cost for larger teams
- 3k logs/month limit on Free plan
Tags
Pricing
Features and Benefits
Experiment Tracking
Allows users to track the performance and outcomes of experiments over time to improve AI models.
Human Annotation
Collects feedback and annotations from users to refine datasets and enhance model accuracy.
Prompt Playground
Facilitates testing and deploying multiple prompts on datasets to find the most effective solutions.
Observability
Provides complete visibility into data logging, cost management, and quality tracking for AI systems.
SDK Integrations
Includes native SDKs for Python and JavaScript to ensure seamless integration and functionality with LLMs.
Integrations
Target Audience
Frequently Asked Questions
Parea provides experiment tracking and human annotation for LLM applications.
Yes, Parea offers a Free plan with up to 3k logs per month.
By tracking experiments, collecting human feedback, and enabling prompt testing and deployment.
It integrates with major LLM providers like OpenAI and Anthropic.
Yes, it includes a feature for tinkering with prompts and deploying successful ones.
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