Future AGI is dedicated to solving key problems in three dimensions of current AI application development:
- Accuracy challenges: Through the automatic assessment tool and workflow comparison function, the system can identify illusions, factual errors and other problems in the model output, and its self-developed assessment model outperforms the mainstream large models in multiple benchmark tests
- Reliability ChallengesProvide full life cycle monitoring from development to production, including real-time tracking of API call latency, Token consumption and other indicators, and early warning of performance degradation through anomaly detection mechanisms.
- Security ChallengesBuilt-in security guards block harmful content within 50 milliseconds, while meeting the stringent requirements for output compliance and data auditing in industries such as finance and healthcare.
Compared to traditional development methods, the platform shortens the iterative optimization cycle of AI applications from days to minutes, significantly improving development efficiency.
This answer comes from the articleFuture AGI: Observability and Evaluation Platform for AI ApplicationsThe
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