Athina AI is a collaborative platform designed to streamline the development, evaluation, and monitoring of AI applications, particularly those leveraging large language models (LLMs). It caters to both technical and non-technical team members, enabling seamless collaboration throughout the AI development lifecycle.
Key Features
Athina offers a familiar spreadsheet-like UI, allowing users to prototype complex AI pipelines using dynamic columns. These columns can execute LLM prompts, run code, make API calls, retrieve data, and perform transformations—all within the same interface.
The platform provides over 50 preset evaluation metrics and supports custom evaluations. Users can run evaluations directly within the interface, facilitating rapid assessment of model outputs.
Athina enables users to experiment with different prompts, models, retrievers, and chains effortlessly. Technical users can also run experiments programmatically, offering flexibility in testing various configurations.
The platform offers real-time monitoring of LLM features in production, including continuous evaluations and granular analytics. Users can track metrics such as response time, cost, token usage, and more, segmented by properties like customer ID, environment, model, and prompt.
Use Cases
Rapid Prototyping: Quickly build and test AI features in a collaborative environment.
Model Evaluation: Assess model outputs using preset or custom evaluation metrics.
Prompt Management: Organize, version, and deploy prompts across various models.
Monitoring: Track model performance, usage metrics, and costs in real-time.