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Athina AI
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  • Introduction:
    Supervise LLMs and identify hallucinations in production.
  • Category:
    Code&IT
  • Added on:
    Mar 18 2024
  • Monthly Visitors:
    21.0K
  • Social & Email:
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Athina AI: An Overview

Athina AI is a specialized tool designed to assist developers in monitoring and evaluating their large language model (LLM) applications that are deployed in production environments. It provides essential insights that help in enhancing the performance and reliability of AI applications.

Athina AI: Main Features

  1. Comprehensive visibility into the Retrieval-Augmented Generation (RAG) pipeline.
  2. More than 40 preset evaluation metrics to identify hallucinations and assess performance.

Athina AI: User Guide

  1. Begin by setting up an account on the Athina AI platform.
  2. Configure the monitoring parameters according to your application needs.
  3. Initiate the evaluation process by running your LLM applications.
  4. Analyze the generated reports to gain insights into application performance and potential issues.

Athina AI: Pricing

Athina AI: User Reviews

  • "Athina AI has transformed the way we monitor our LLM applications. The insights provided are invaluable for optimizing performance!" - Developer A
  • "The evaluation metrics are incredibly detailed, helping us to quickly identify and address hallucinations in our models." - Developer B

FAQ from Athina AI

What is the typical timeframe for incorporating Athina AI into my software?
Integrating Athina AI into your software can be accomplished in a mere five minutes.
Does Athina AI support various language models?
Absolutely, Athina is designed to function seamlessly with any language model you choose.
Is it possible to run Athina AI on my own servers?
Indeed, Athina AI provides an option for self-hosting, ensuring you maintain full privacy and control over your data.
What are the requirements for deploying Athina AI in a custom environment?
To deploy Athina AI in a custom setup, you will need a compatible server environment and adherence to the provided integration guidelines.
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