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Overview of AI Agents

by juanitotest · shared yesterday · source: en.wikipedia.org
22
Questions
~13m
To complete
4
Times taken
Artificial Intelligence
Subject
Deck intelligence

What this deck covers

Focus
Artificial Intelligence
Practice shape
Standard practice
Question mix
7 multiple choice · 15 written
Coverage
7 study sections
Ai AgentsGoal Directed BehaviorNatural Language ProcessingMulti Step TasksAutonomyTool Usage
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Sneak peek · question 1

What are AI agents capable of doing?

    Question 02

    What are some key attributes of AI agents?

    Question 03

    What attributes do AI agents possess?

    Question 04

    What key attribute do AI agents possess that relates to completing a task in steps?

    • A)
      The ability to perform multi-step tasks
    • B)
      The ability to generate random outputs
    • C)
      The ability to operate without constraints
    • D)
      The ability to solely rely on human input
    Question 05

    What are AI agents capable of in terms of functionality and autonomy?

    Question 06

    Which of the following is NOT a key attribute of AI agents according to the source?

    • A)
      Natural language interfaces
    • B)
      Goal-directed behavior
    • C)
      Ability to work autonomously
    • D)
      Physical manipulation of objects
    Question 07

    Which video games have been used for training AI agents according to the research?

    • A)
      Minecraft and No Man's Sky
    • B)
      Call of Duty and PUBG
    • C)
      Fortnite and Apex Legends
    • D)
      The Sims and Animal Crossing
    Question 08

    What are the SAE levels of autonomy for self-driving cars compared to AI agents according to the Financial Times?

    Question 09

    What is the ReAct pattern in AI agents?

    Question 10

    What is the purpose of the ReAct pattern in AI agents?

    • A)
      To randomly execute actions
    • B)
      To combine reasoning with action-taking
    • C)
      To store data in a model
    • D)
      To create user interfaces
    Question 11

    What does the ReAct (Reason + Act) pattern involve in the context of AI agents?

    Question 12

    What is prompt chaining in orchestration patterns?

    Question 13

    What is prompt chaining in the context of orchestration patterns for autonomous agents?

    Question 14

    What are some applications of AI agents?

    Question 15

    What models are mentioned as the basis for agents in AI development?

    Question 16

    What have government bodies in the U.S. and U.K. done regarding AI agents?

    Question 17

    What types of models can be used as the basis for AI agents?

    Question 18

    What type of models can be used as the basis for AI agents according to the document?

    • A)
      Large language models (LLMs)
    • B)
      Vision-language models (VLMs)
    • C)
      Multimodal foundation models
    • D)
      All of the above
    Question 19

    What are AI agents and what is one theory they are linked to?

    Question 20

    Which companies have integrated AI agents into their operating systems?

    • A)
      Microsoft, Apple, and Google
    • B)
      Amazon, Facebook, and Tesla
    • C)
      IBM, Oracle, and Adobe
    • D)
      Samsung, LG, and ASUS
    Question 21

    What did Allen Institute for AI release in September 2024 regarding AI agents?

    • A)
      An open-source vision-language model
    • B)
      A coding agent for video games
    • C)
      A framework for software development
    • D)
      A new language model for text generation
    Question 22

    What are the seven archetypes of AI agents as identified by The Information?