Commercial LLMOps Platform
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A Commercial LLMOps Platform is a commercial devops platform (that provides the infrastructure and tools) for creation LLM devops systems (to operationalize LLM-based systems).
- Context:
- It can (typically) provide a Managed Environment that supports the entire lifecycle of LLM, including development, deployment, and maintenance.
- It can (often) include features like Model Monitoring, Prompt Engineering, and Model Fine-Tuning to optimize the performance and applicability of LLMs.
- It can range from being a simple Model Deployment Interface to a comprehensive LLM Lifecycle Management Platform.
- It can facilitate Ethical AI Practices such as bias mitigation and content filtering within LLM Operations.
- It can integrate various LLMOps Tools to streamline the workflow from model training to deployment.
- ...
- Example(s):
- Valohai, which provides a cloud-based platform that supports both traditional ML and LLM fine-tuning, deployment, and monitoring.
- Databricks: Offers a managed LLMOps environment including MLflow for tracking experiments and managing deployments.
- Tune Studio, a platform that allows developers to fine-tune and deploy LLMs with a user-friendly interface.
- OpenLLM: An open-source platform for fine-tuning, deploying, and monitoring LLMs, used by companies for LLM-based applications.
- CometLLM: Provides facilities for managing and visualizing LLM prompt chains, enhancing prompt engineering efforts.
- LangChain: Used for building LLM applications and integrating various LLMOps tools for prompt engineering and model deployment.
- ...
- Counter-Example(s):
- See: OpenLLM, CometLLM, LangChain, Gemma