Learn how LLMOps addresses the challenges of developing with LLMs and how your team can get the most from your large language models.

Circle is a platform for developers and software teams to collaborate, share knowledge, and streamline their development workflows, offering tools and integrations for code review, continuous integration, and project management. Developers can learn about modern development practices, agile methodologies, and DevOps principles to improve collaboration, increase productivity, and deliver high-quality software efficiently.

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LLMOps is the evolution of MLOps specifically tailored for large language models. It addresses the challenges of building with these models and optimizes their use in AI applications. LLMOps differs from MLOps in terms of scale and resource management, data diversity and complexity, and real-time language understanding. Some use cases for LLMOps include customer service chatbots, content generation tools, and complex data analysis applications.

From MLOps to LLMOps: The evolution of automation for AI-powered applications

<p>DevOps
AIOps
MLOps
LLMOps
LangChainOps
RAGOps</p>
