AI
AWS AI/ML Solutions
Tier 1: Pre-Built AWS Services
Language
- Amazon Comprehend — I want to extract insights from documents that are too big for me to analyze with my tiny brain
- Amazon Polly — I want to make lifelike speech from text I wrote because I can’t be bothered to record my voice
- Amazon Transcribe — I need to turn these recordings into text for easier processing
- Amazon Translate — I don’t know what this foreigner is saying; I need to translate his emails (no real-time voice translation)
Computer vision and search services
- Amazon Kendra — I need to find stuff in this massive pool of junk at my enterprise corp
- Amazon Rekognition — I need to identify different things in a video
- Amazon Textract — I need to convert messy text (typed or handwritten) into something cleaner
Conversational AI and personalization services
- Amazon Lex — I want to make an AI chatbot
- Amazon Personalize — I want to use data to build an intelligent application
Tier 2: ML Services
Amazon SageMaker AI — I want to build my own ML model without having to worry about infra
Tier 3: ML Frameworks and Infrastructure
- ML Frameworks — Software library or tool for experienced ML practitioners
- AWS ML Infrastructure— Supports ML-framework-built solutions in live environment
Generative AI Solutions
- Amazon SageMaker JumpStart — An ML hub with FMs and pre-built ML solutions deployable with a few clicks
- Note: reminds me of HuggingFace
- Amazon Bedrock — A fully managed service for adapting and deploying FMs from Amazon and other leading AI companies
- Amazon Q — An interactive AI assistant that can be integrated with a company’s information repositories