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

Q

AI to discover secure and PII (Scans S3)

A

Amazon Macie

Q

Test LLM

A

Bert Score

Q

Virual Assistant

A

Amazon Q Business

Q

Natural Language Chatbot

A

Amazon Lex

Q

Low Bias, High Variance

A

Overfitting

Q

Multi-turn

A

Instruction Based Fine tuning

Q

Low Bias, High Variance

A

Overfitting

Q

Real time Low latency Database

A

Amazon DocumentDB (with MongoDB compatibility)

Q

Domain specific Labelled data

A

Instruction based Fine tuning

Q

Domain specific unlabelled data

A

Domain Specific fine tuning or Continued Pre-training

Q

Trusted Training Dataset

A

Sagemaker Ground Truth