LLM Applications

LLM applications are or can be integrated with user applications involved with or utilising capabilities of LLMs. The following LLM applications are currently available in DKubeX.

• SecureLLM

• Kubeflow

• MLFlow

• Flyte

SecureLLM

DKubeX SecureLLM is a secure interface solution which facilitates observability and monitoring between AI app users and LLMs in use. For all requests from the AI applications, SecureLLM proxies these LLM calls and records both the request and response transactions.

For a detailed guide on how to use SecureLLM, please visit SecureLLM.

Kubeflow

Kubeflow is a free, open-source machine learning platform that allows machine learning pipelines to orchestrate complicated workflows running on Kubernetes.

For a detailed guide on how to use Kubeflow on DKubeX, please visit Kubeflow.

MLFlow

MLflow stands as a flexible and adaptable open-source platform crafted to handle workflows and artifacts throughout the entirety of the machine learning journey. With its innate capability to seamlessly integrate with numerous well-known ML libraries, it accommodates any library, algorithm, or deployment tool. Its architecture is intentionally designed for extensibility, enabling the creation of plugins to facilitate novel workflows, libraries, and tools.

For a detailed guide regarding MLFlow on DKubeX, please visit MLFlow.

Flyte

Flyte empowers users with highly concurrent, scalable, and reproducible workflows tailored for data processing, machine learning, and analytics. It excels in managing, automating, and tracking large-scale machine learning tasks and workloads.

For a detailed guide regarding MLFlow on DKubeX, please visit Flyte.