Athina helps developers to build reliable LLM applications.
1. Our monitoring dashboard gives them a unified view of- cost, token usage, latency, evaluation pass/fail percentage and topic classification of their user queries
2. Our evaluators help developers to detect hallucinations and inaccuracies in their LLM outputs. They can use our prebuilt evals, write custom ones or integrate their own evals.
– Our monitoring dashboard gives them a unified view of- cost, token usage, latency, evaluation pass/fail percentage and topic classification of their user queries
– Our evaluators help developers to detect hallucinations and inaccuracies in their LLM outputs. They can use our prebuilt evals, write custom ones or integrate their own evals.
– Monitoring various metrics for your LLM application – Cost, token usage, latency, pass/fail rate and topic classification of user’s query
– Evalution of LLM generated outputs from RAG based applications
– Evaluation of LLM generated summaries (text summary or meeting summary)
