Part V Machine Learning and AI
This section covers the ways you can integrate Oracle AI Data Platform with machine learning and generative AI.
About Machine Learning and AI
AI Data Platform enables you to build supported AI and machine-learning models using by seamlessly accessing data in catalogs, transforming them, and leveraging this to create models using libraries like Scikit-learn, PyTorch, TensorFlow, Keras, and SciPy. You can use your own custom libraries and train custom models in AI Data Platform to help solve use cases.
AI Data Platform also provides access to OCI Generative AI foundational models, enabling you to run batch inference on pre-trained OCI Generative AI chat models like:
- cohere.command-r-08-2024,
- cohere.command-r-plus-08-2024,
- meta.llama-3.3-70b-instruct,
and embedding models like:
- cohere.embed-english-v3.0,
- cohere.embed-multilingual-v3.0
For a full list of models, see Pretrained Foundational Models in Generative AI.
As new pre-trained models are added to the OCI Generative AI service, those models are made available in AI Data Platform's default catalog's (hive), oci_ai_models schema.