Large language models vs other AI types in AI for Everyone - When to Use Which

The Big Idea

What if one AI could understand and talk about almost anything you ask?

The Scenario

Imagine trying to understand and respond to thousands of different questions by hand, or building a simple AI that can only do one task like recognizing images but not talk or write.

The Problem

Manual methods or simple AI types struggle because they are limited to specific tasks and can't handle the wide variety of language and knowledge humans use daily. This makes them slow, rigid, and often inaccurate when faced with new or complex questions.

The Solution

Large language models learn from vast amounts of text to understand and generate human-like language, allowing them to answer questions, write stories, translate languages, and more--all in one flexible system.

Before vs After

✗ Before

if input == 'cat picture': show_cat_image()
elif input == 'weather': show_weather_info()

✓ After

response = large_language_model.generate_response(user_input)

What It Enables

It enables machines to understand and generate natural language across countless topics, making interactions with AI more natural and useful.

Real Life Example

Using a virtual assistant that can help you schedule meetings, answer trivia, write emails, and even tell jokes--all without switching between different specialized apps.

Key Takeaways

Manual or simple AI systems are limited and task-specific.

Large language models handle diverse language tasks flexibly.

This leads to more natural and powerful AI interactions.

Practice

1. Which of the following best describes the main focus of large language models?

easy

A. Understanding and generating human language

B. Recognizing images and videos

C. Controlling robots and machines

D. Analyzing financial data only

Solution

1. Step 1: Identify the primary task of large language models

   Large language models are designed to understand and generate text, such as writing and chatting.

2. Step 2: Compare with other AI types

   Other AI types focus on images, sounds, or specific tasks, not primarily language.

3. Final Answer:

   Understanding and generating human language -> Option A

4. Quick Check:

   Language models = language tasks [OK]

Hint: Language models = text tasks like writing/chatting [OK]

Common Mistakes:

• Confusing language models with image recognition AI
• Thinking all AI types do the same tasks
• Assuming language models control robots

2. Which of these is a correct example of an AI type that is NOT a large language model?

easy

A. A chatbot that writes stories

B. An AI that identifies objects in photos

C. A program that generates text summaries

D. A system that translates languages

Solution

1. Step 1: Identify AI types from options

   A chatbot that writes stories, a program that generates text summaries, and a system that translates languages involve language tasks, typical of large language models.

2. Step 2: Recognize the non-language AI type

   An AI that identifies objects in photos describes image recognition, which is a different AI type focused on visuals.

3. Final Answer:

   An AI that identifies objects in photos -> Option B

4. Quick Check:

   Image AI ≠ language model [OK]

Hint: Image AI is not a language model [OK]

Common Mistakes:

• Choosing language-based AI as non-language AI
• Mixing up translation with image recognition
• Assuming all AI that process text are not language models

3. If you want an AI to help you create a poem, which AI type would most likely be suitable?

medium

A. Autonomous driving AI

B. Image recognition AI

C. Speech recognition AI

D. Large language model

Solution

1. Step 1: Understand the task requirement

   Creating a poem involves generating and understanding text, a language task.

2. Step 2: Match task to AI type

   Large language models specialize in text generation, making them suitable for poetry.

3. Final Answer:

   Large language model -> Option D

4. Quick Check:

   Text creation = language model [OK]

Hint: Poetry needs text AI, so pick language model [OK]

Common Mistakes:

• Choosing image or speech AI for text tasks
• Confusing speech recognition with text generation
• Selecting unrelated AI types like autonomous driving

4. An AI system is designed to recognize spoken words and convert them to text. What is the main issue if someone calls it a large language model?

medium

A. It is incorrect because speech recognition is a different AI type

B. It is correct because all AI that handle text are large language models

C. It is incorrect because large language models only work with images

D. It is correct because speech recognition is part of language generation

Solution

1. Step 1: Identify the AI task described

   The system converts spoken words to text, which is speech recognition, not text generation.

2. Step 2: Understand large language model scope

   Large language models focus on generating and understanding text, not recognizing speech sounds.

3. Final Answer:

   It is incorrect because speech recognition is a different AI type -> Option A

4. Quick Check:

   Speech recognition ≠ language model [OK]

Hint: Speech recognition ≠ large language model [OK]

Common Mistakes:

• Assuming all text-related AI are language models
• Confusing speech recognition with text generation
• Thinking large language models handle audio input directly

5. You want to build an AI assistant that can both chat with users and identify objects in photos they send. Which approach best fits this need?

hard

A. Use only image recognition AI for chatting and photo tasks

B. Use only a large language model for both chatting and image recognition

C. Use a large language model for chatting and a separate image recognition AI for photos

D. Use a speech recognition AI combined with image recognition AI

Solution

1. Step 1: Analyze the tasks required

   The assistant must chat (language task) and identify objects in photos (image task).

2. Step 2: Match AI types to tasks

   Large language models handle chatting well, while image recognition AI is needed for photo analysis.

3. Step 3: Combine AI types appropriately

   Using separate specialized AI systems for each task ensures better performance and accuracy.

4. Final Answer:

   Use a large language model for chatting and a separate image recognition AI for photos -> Option C

5. Quick Check:

   Specialized AI for each task = best solution [OK]

Hint: Combine language and image AI for mixed tasks [OK]

Common Mistakes:

• Trying to use one AI type for all tasks
• Ignoring the need for image recognition AI
• Confusing speech recognition with chatting AI