Model Class
Categories of ML/LLM models by their operational role in S3-centric systems.
12 nodesA class of model that converts unstructured data (text, images, audio) into fixed-dimensional vector representations suitable for …
A large language model for broad text tasks. In scope when applied to metadata extraction, summarization, schema inference, or que…
An LLM specialized for code understanding and generation. A subtype of General-Purpose LLM with enhanced ability to work with stru…
A compact model (typically under 10B parameters) suitable for local or edge deployment, often distilled from a larger model to ret…
A class of model that re-scores and re-orders retrieval results from vector search, improving precision by applying a more expensi…
Specialized models for extracting structured metadata (entities, dates, categories, relationships) from unstructured documents sto…
Models that convert scanned documents, images, and PDFs stored in S3 into structured, machine-readable text. Includes OCR engines,…
Models that identify unusual patterns in S3 access logs, storage metrics, API call patterns, and billing data — flagging potential…
Models that assess the quality, completeness, and consistency of data arriving in S3 — checking for missing values, format violati…
Models that automatically categorize S3 objects by content type, sensitivity level, domain, or business unit — enabling automated …
Models that analyze S3 usage patterns — access frequency, storage class distribution, request types, egress volumes — and recommen…
Models that analyze existing IAM policies, bucket policies, and access patterns for S3 environments, recommending improvements for…