AWS AI Fundamentals Flashcards by Adam Johnson

Q

Audio to Text

A

Transcribe

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Q

Sentiment Analysis

A

Comprehend

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Q

Translation

A

Translate

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Q

Text to Speech

A

Amazon Polly

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Q

Extract fields from text

A

Textract

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Q

Image or Video Analysis

A

Rekognition

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Q

Include Human Review

A

Amazon Augmented AI (A2I)

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Q

Monitor model performance

A

Sagemaker Model Monitor

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Q

Conversational text and voice (Chatbot)

A

Amazon Lex

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Q

Real time or streaming

A

Sagemaker serverless inference

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Q

Pre trained Foundation Models

A

Sagemaker Jumpstart

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Q

Gen AI performance assessment

A

ROGUE, BLEU

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Q

Gen AI Managed Service

A

Amazon Bedrock

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Q

Gen AI Managed Service Sandbox/Playground

A

Amazon PartyRock

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Q

Amazons own Gen AI Foundation Model

A

Amazon Titan

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Q

Recommendation System

A

Amazon Personalise

Q

Code Completion

A

Amazon Q or Q Developer

Q

Rcommendations for Security

A

Amazon Inspector

Q

API Calls and user activity

A

CloudTrail

Q

Model Data Catalog

A

Sagemaker Model Cards

Q

Secure Access

A

IAM

Q

Extract insight from text, moderate content and detect offensive words

A

Amazon Comprehend

Q

Model Metrics, bias, toxicity

A

Sagemaker Clarifiy

Q

Security and Compliance Reports

A

AWS Artifact

AI to discover secure and PII (Scans S3)

Amazon Macie

Test LLM

Bert Score

Virual Assistant

Amazon Q Business

Natural Language Chatbot

Amazon Lex

Low Bias, High Variance

Overfitting

Multi-turn

Instruction Based Fine tuning

Low Bias, High Variance

Overfitting

Real time Low latency Database

Amazon DocumentDB (with MongoDB compatibility)

Domain specific Labelled data

Instruction based Fine tuning

Domain specific unlabelled data

Domain Specific fine tuning or Continued Pre-training

Trusted Training Dataset

Sagemaker Ground Truth