Parea
What does it do?
- LLM Application Development
- Prompt Experimentation
- Performance Evaluation
- Data Management
- Monitoring and Analytics
How is it used?
- Access web app
- experiment with prompts
- monitor LLMs.
- 1. Access web app
- 2. Use Prompt Playground
Who is it good for?
- AI Researchers
- Machine Learning Engineers
- Data Scientists
- Enterprise AI Teams
- Prompt Engineers
Details & Features
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Made By
Parea -
Released On
2023-10-24
Parea AI is an advanced experiment tracking and human annotation platform designed to support teams in developing, testing, and deploying production-ready Large Language Model (LLM) applications. This comprehensive suite of tools enhances the development lifecycle of AI systems, from experimentation and observability to human annotation.
Key features:
- Prompt Playground: Versatile environment for experimenting with prompts, comparing across different model parameters and inputs, with support for function calling.
- Custom Test Collections and Evaluation Metrics: Evaluate prompts against test case collections using custom metrics for personalized performance assessment.
- Log and Trace Monitoring and Analytics: Detailed monitoring capabilities, including trace monitoring, for in-depth analysis of LLM application performance.
- Data Management: Shared data across the organization to foster collaboration and effective data utilization.
- Batch Evaluation Jobs: Support for executing batch evaluation jobs to enhance scalability and efficiency.
- Unlimited Deployed Prompts: Flexibility to deploy an unlimited number of prompts.
- Personalized Evaluation Metrics: Creation and use of tailored assessment metrics to meet specific needs.
How it works:
1. Access the web application interface.
2. Utilize the Prompt Playground to experiment with prompts and function calls.
3. Create and run batch evaluation jobs against custom test collections.
4. Monitor and analyze LLM application performance using detailed analytics features.
5. Use the developer-focused SDK to access LLM models through a unified API.
6. Implement automatic logging and caching with minimal code changes.
Integrations:
OpenAI, Anthropic, LLaMa 2, Mistral, Azure, AWS Bedrock, Vertex AI
Use of AI:
Parea AI leverages generative artificial intelligence through its support for various LLM models. Users can experiment with, evaluate, and deploy AI systems based on these advanced models.
AI foundation model:
The platform's SDK and API integrations facilitate access to a range of LLM models, including those from OpenAI, Anthropic, and open-source options like LLaMa 2 and Mistral, as well as enterprise-ready models from Azure, AWS Bedrock, and Vertex AI.
Target users:
- Enterprises developing LLM applications
- Ambitious startups streamlining AI development processes
- Teams of any size working on production-ready AI systems
How to access:
Parea AI is available as a web application, accessible to users with internet access. It is a proprietary solution, not mentioned as open source.
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Supported ecosystemsHugging Face, AWS, Azure, Google
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What does it do?LLM Application Development, Prompt Experimentation, Performance Evaluation, Data Management, Monitoring and Analytics
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Who is it good for?AI Researchers, Machine Learning Engineers, Data Scientists, Enterprise AI Teams, Prompt Engineers
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