Machine Learning
Amazon Titan
Amazon Titan is a family of AWS foundation models available through Amazon Bedrock for supported text, image, embedding, and multimodal tasks. Titan models can provide AWS-native generation or vector representations without operating endpoints.
Key points
- Capabilities, context limits, and request schemas vary among Titan model versions
- Titan Embeddings produces vectors intended for semantic retrieval
- Invocation remains subject to Bedrock quotas, Regions, and model access
When to use it
- Create embeddings for an enterprise RAG corpus
- Generate or transform content with an approved AWS model
Exam tips
- Select a Titan model by measured task performance rather than assuming one family member fits every modality
- Changing embedding version can alter dimensions or semantics and normally requires re-indexing