DSDL
DSDL
Splunk App for Data Science and Deep Learning documentation for setup, assistants, containers, LLM-RAG, troubleshooting, and resources.
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- About DSDL Overview, architecture, workflow, and components for the Splunk App for Data Science and Deep Learning.
- Install and configure Installation, upgrade, platform integration, cache, certificate, and JupyterLab setup guidance.
- Firewall requirements Network requirements for Splunk, Docker, Kubernetes, and container communication.
- Use DSDL Examples, JupyterLab development, commands, performance, containers, and model governance.
- DSDL assistants Neural Network Designer and deep learning text assistant guides.
- LLM-RAG assistants LLM-RAG setup, use cases, compute command, vector database, and function-calling guidance.
- Troubleshooting Troubleshoot common DSDL issues.
- Additional resources Support and additional DSDL learning resources.
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