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AWS Services

Amazon Comprehend

Use Cases

  • Find meaningful insights and relationships in text
  • Generate summaries of text documents

Features

  • Natural language processing (NLP)
  • Entity recognition
  • Extract key phrases, entities, events, personally indentifiable information (PII), sentiment(positive, neutral, negative, or mixed), and language from text

Amazon Kendra

Use Cases

  • Search across unstructured data using natural language queries

Features

  • Retrieval Augmented Generation (RAG)

Amazon Textract

Features

  • Extracts printed text, handwriting, and other data from scanned documents using machine learning
  • Support tabular data

Amazon Rekognition

Use Cases

  • Content moderation

Features

  • Detect objects, scenes, and faces in images and videos

Amazon Transcribe

Features

  • Converts video/audio into text

Amazon Translate

Features

  • Translate text into different languages

Amazon Augmented AI (Amazon A2I)

Use Cases

  • Human review workflows for machine learning predictions

AWS Trainium (EC2 Hardware)

Use cases

  • Deep learning training of 100B+ parameter models

Features

  • Trn1 instances deliver high performance and low cost for deep learning training in the cloud

AWS Inferentia (EC2 Hardware)

Use Cases

  • High performance at lowest costs EC2 hardware for deep learning (DL) and generative AI inference applications

Features

  • Inf1 instances deliver 2.3x higher throughput and 70% lower cost per inference compared to Amazon EC2 instances