1) Fundamentals of Machine Learning and Artificial Intelligence Flashcards
(19 cards)
What are the stages of the FM lifecycle?
The stages are: Data Selection, Pre-Training, Optimization, Evaluation, Deployment, Feedback and Continuous Improvement.
What is prompt engineering?
Prompt engineering focuses on developing, designing, and optimizing prompts to enhance the output of FMs for your needs.
What are the elements of a prompt?
The elements are: Instructions, Context, Input Data, Output Type or Format.
What is fine-tuning?
Fine-tuning is a supervised learning process that involves taking a pre-trained model and adding specific, smaller datasets.
What are the two ways to fine-tune a model?
- Instruction fine-tuning uses examples of how the model should respond to a specific instruction.
- Reinforcement learning from human feedback (RLHF) provides human feedback data, resulting in a model that is better aligned with human preferences.
What AWS service is used for natural language processing?
Amazon Comprehend is used for natural language processing and sentiment analysis.
Which AWS service is used for language translation?
Amazon Translate is used for language translation.
What AWS service extracts data from scanned documents?
Amazon Textract extracts data from scanned documents.
Which AWS service can build conversational interfaces?
Amazon Lex can be used to build conversational interfaces.
What AWS service provides text-to-speech capabilities?
Amazon Polly provides text-to-speech capabilities.
Which AWS service offers automatic speech recognition?
Amazon Transcribe offers automatic speech recognition.
What is Amazon Rekognition?
Amazon Rekognition is a deep learning-based computer vision service that can analyze images and videos.
What AWS service is used for intelligent search?
Amazon Kendra is the intelligent search service powered by ML for websites and applications.
What is Amazon Personalize used for?
Amazon Personalize is used for real-time personalization and recommendations.
What does Amazon SageMaker JumpStart provide?
Amazon SageMaker JumpStart provides a set of solutions for the most common use cases, which can be readily deployed.
What is Amazon Bedrock?
Amazon Bedrock is a fully managed service that makes FMs from Amazon and leading AI startups available through an API.
What is Amazon Q?
Amazon Q is a generative AI-powered assistant designed for work that can be tailored for a business’s data.
What does Amazon Q Developer provide?
Amazon Q Developer provides ML-powered code recommendations to accelerate development in a variety of programming languages and applications.
What are the advantages of using AWS services to build AI applications?
The advantages include: Accelerated development and deployment, Scalability and cost optimization, Flexibility and access to models, Integration with AWS tools and services.
