Flip AI unveils Flip DevOps LLM, an AI model aimed at improving incident debugging and observability in complex systems.
Flip AI's LLM orchestration framework, the System of Intelligent Actors, emulates coordinated expert analysis to discern incident root causes quickly and effectively.
According to benchmarks, Flip DevOps LLM performs 67.6% better than Mixtral and 34.5% better than GPT-4 in internal testing environments.
The AI facilitates debugging by being agnostic to various observability tools and interpreting CoMELT data to pinpoint incident causes.
The detailed technical report, 'System of Intelligent Actors: The DevOps Chapter' attached to the blog, further explains the AI's capabilities in large-scale software system management.

Flip AI provides an AI-powered Large Language Model (LLM) designed for DevOps. It specializes in predicting and resolving business disruptions swiftly by analyzing observability data. The LLM understands all forms of data, including unstructured, to aid in quick recovery of software issues. Aimed at debugging production incidents without prior model training, it integrates with existing observability systems, fine-tuning based on feedback and recognizing patterns to ensure immediate value. Flip prioritizes enterprise data security, is non-intrusive, and guarantees no data egress. Developed by a team with experience at AWS and government, Flip AI is revolutionizing observability with their proprietary DevOps LLM.

Flip AI

DevOps-focused LLM for rapid business disruption resolution and system restoration.

Flip AI Introduces Advanced System of Intelligent Actors for DevOps

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