Generative AI, LLMs and inference parameters

AIF-C01 · Fundamentals of Generative AI · Updated

Tokens, embeddings, transformers, diffusion models, the foundation model lifecycle and the inference parameters temperature, Top P, Top K and max tokens.

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The first 2 AIF-C01 lessons are free. Full access opens every lesson with its practice questions, and the exam-style AIF-C01 question bank.

In this lesson
  • Core terms
  • Model families
  • Inference parameters
  • Foundation model lifecycle
  • Strengths and limits
  • Exam traps
  • Practice questions

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AIF-C01 course outline

All 8 lessons · Course overview
  1. ML learning types, tasks and metricsFundamentals of AI and ML Free
  2. AWS AI services and SageMaker AI toolsFundamentals of AI and ML Free
  3. Generative AI, LLMs and inference parametersFundamentals of Generative AI Full access
  4. Amazon Bedrock, Amazon Q and model customizationFundamentals of Generative AI Full access
  5. Prompt engineering techniquesApplications of Foundation Models Full access
  6. Evaluating foundation model outputApplications of Foundation Models Full access
  7. Responsible AI principles and toolsGuidelines for Responsible AI Full access
  8. Securing AI workloads and AWS compliance toolsSecurity, Compliance, and Governance for AI Solutions Full access