AI FLUENCY · PHASE 1: AWARENESS
Module 4 — The AI Landscape
Explore Multimodal AI, Chatbots, AI Assistants, Agents, Search Engines and Databases
Artificial Intelligence comes in many forms. Discover how these systems work, what makes them different, and how they can help us understand information and accomplish tasks.
AIYING — Accomplishing with AI
Welcome to Module 4
In the first three modules of AI Fluency, we explored what AI is, how it learns, and four important properties of language models.
Now we explore the wider AI landscape.
AI systems can work with different forms of information, communicate through conversation, support tasks, and sometimes take actions using connected tools.
We also encounter search engines and databases, which often work alongside AI systems.
This module helps you understand the differences between these technologies and recognize when each can be useful.
How to Use This Learning Hub
Each lesson contains a short, silent visual video and a detailed written explanation.
Watch the video to understand the main idea.
Read the linked article for examples, explanations, and limitations.
Understand how the concept relates to everyday activities.
Reflect on the questions to check your understanding.
Four Lessons at a Glance
013. Multimodal AI
AI that can process or generate multiple forms of information, such as text, images, audio and video.
014. Chatbots & Assistants
Conversational systems that answer questions and help people perform tasks.
015. AI Agents
Goal-oriented systems that may plan, use tools, take actions and adapt.
016. AI, Search & Data
Understand generation, source discovery and organized information retrieval.
LESSON 013 · MULTIMODAL AI
What Is Multimodal AI?
Multimodal AI can work with different types of information, including text, images, audio and video.
For example, you might show an AI assistant a photograph of a plant and ask what it is.
Everyday Example: An AI assistant interprets a plant photograph and a written question together.
Key Takeaway: Multimodal AI supports interactions across different information formats, but it can still misinterpret what it receives.
LESSON 014 · CHATBOTS AND ASSISTANTS
What Are AI Chatbots and Assistants?
AI chatbots enable conversations using natural language. AI assistants focus on supporting tasks and goals.
The same AI application may function as both.
Everyday Example: Ask a chatbot to explain photosynthesis, or ask an AI assistant to help prepare a biology study plan, explain topics and create quizzes.
Key Takeaway: Chatbots emphasize conversation and assistants emphasize task support, although their capabilities often overlap.
LESSON 015 · AI AGENTS
What Are AI Agents?
AI agents are systems designed to pursue goals by selecting and carrying out actions.
Depending on their design, they can use tools, examine results and adjust their next steps.
Everyday Example: A travel-planning agent may research transport options, compare hotels and prepare an itinerary, using suitable tools and permissions.
Key Takeaway: Agents may pursue multi-step goals. Real-world actions require appropriate controls, safeguards and human authorization.
LESSON 016 · AI, SEARCH AND DATABASES
How Are AI, Search Engines, and Databases Different?
AI can generate and analyze information. Search engines locate relevant sources. Databases store and retrieve organized records.
These technologies can work together in modern applications.
Everyday Example: An AI assistant can explain population trends, a search engine can locate official sources, and a database can retrieve recorded population figures.
Key Takeaway: Choose the appropriate technology for your information needs, and verify important results.
How Do These Technologies Connect?
These four lessons introduce different but related aspects of the AI landscape.
Multimodal AI expands the kinds of information AI can process.
Chatbots and assistants provide conversational interfaces and support user tasks.
AI agents may carry out connected actions using goals, tools and feedback.
Search engines and databases provide ways to locate and retrieve relevant information.
These capabilities are not mutually exclusive. One AI application may combine several of them.
Check Your Understanding
After watching and reading all four lessons, try answering:
- What is the difference between text-only and multimodal AI?
- How do chatbots and assistants differ in their main emphasis?
- What makes an AI agent capable of pursuing a goal through multiple actions?
- When would you choose a search engine or database instead of relying solely on an AI-generated answer?
Try explaining each answer in your own words and using an everyday example.
Module 4 Complete!
You have now explored four lessons covering the wider AI landscape.
Across Modules 1–4, you have access to 16 video lessons and their written learning materials.
This represents four of the six planned modules in the Awareness phase.
16 of 24 Awareness Lessons
COMING NEXT
Module 5 — Capabilities and Limitations
Next, we explore what AI can do well, why it sometimes makes mistakes, and why responsible use matters.
Lesson 017: What Can Today's AI Do Well?
Continue Your AI Fluency Journey
Explore the full 36-module learning roadmap and continue building your AI Fluency.
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