Gen AI data management

The first stage is to build an automated ML pipeline for data collection, data preparation, training and evaluation, including data filtering, data processing, labelling, and embeddings.

In this section

• Using LLMs to process unstructured data
• Vector databases
• Guardrails for data management

See also

• Deploying an LLM using MLRun

• Alerts and notifications