Foundational AI-Part 1 of 4

Basic Terms Introduction

Welcome to the world of AI. If you've ever wondered how your smartphone seems to understand you better than your friends, you're in the right place. This section covers the fundamental terms that make AI tick. Think of it as AI 101, where we'll explore the building blocks of artificial intelligence in a way that's as easy to digest as your morning coffee. Ready to dive in? Let's get started with the basics that will make you sound like an AI pro in no time.

Basic Terms

1. Artificial Intelligence (AI) Definition:?Simulating human intelligence in machines to perform tasks. Practice:?Try using a voice assistant like Siri or Alexa and see how it responds to different questions.
2. Chatbot Definition:?A program that mimics human conversation through text. Practice:?Chat with a customer service bot on any website and ask it varied questions to test its responses.
3. Algorithm Definition:?A set of rules a computer follows to solve problems. Practice:?Follow a cooking recipe step-by-step to see how following precise instructions leads to a final product.
4. Prompt Definition:?The input or question you give to an AI to get a response. Practice:?Use ChatGPT to write a funny poem about your favorite animal.
5. Training Data Definition:?Information used to teach an AI model. Practice:?Think of how you learned to recognize different types of animals by looking at many pictures.
6. Bias Definition:?Errors in AI due to skewed training data. Practice:?Notice any stereotypes in media and discuss how they might affect people’s perceptions.
7. Token Definition:?Small pieces of text an AI processes to understand language. Practice:?Break down a sentence into individual words and see how rearranging them changes the meaning.
8. Natural Language Processing (NLP) Definition:?AI’s ability to understand and generate human language. Practice:?Use Google Translate and see how well it translates sentences back and forth between languages.
9. Machine Learning (ML) Definition:?A type of AI where machines learn from data without explicit programming. Practice:?Try a free online course on platforms like Coursera or Khan Academy to understand basic ML concepts.
10. Large Language Model (LLM) Definition:?An AI trained on vast amounts of text to generate human-like language. Practice:?Experiment with ChatGPT to generate stories or answer complex questions.

Now let's keep going. Practice more...

AI Activity: AI Exploration Challenge

Welcome to the AI Exploration Challenge! Today, you'll embark on a journey through the basics of AI by engaging with various tools and concepts. This fun and interactive activity will help you practice several AI terms simultaneously, giving you a solid foundation in understanding how AI works in everyday applications.

Objective: Explore AI concepts by using various tools and prompts, observing how AI interacts with you, and reflecting on the process.

Tools Needed:

• A smartphone or computer
• Access to voice assistants (Siri, Alexa, etc.)
• Access to ChatGPT or another AI chatbot
• An online recipe
• Google Translate

Step-by-Step Activity

1. Voice Assistant Interaction (AI, NLP)

• Task:?Start your day by asking your voice assistant (e.g., Siri or Alexa) a series of questions.
• Example Prompts: "What's the weather like today?" "Tell me a joke." "Set a timer for 10 minutes."
• Reflection:?Notice how the voice assistant understands and responds to different types of questions. This interaction showcases AI and Natural Language Processing (NLP).

2. Chat with a Customer Service Bot (Chatbot)

• Task:?Visit a website with a customer service chatbot (e.g., an online store) and ask it a variety of questions.
• Example Prompts: "What are your return policies?" "How do I track my order?" "Do you have any discounts available?"
• Reflection:?Observe how the chatbot handles different queries and provides information. This helps you understand how chatbots simulate human conversation.

3. Follow a Recipe (Algorithm)

• Task:?Choose a simple recipe online and follow it step-by-step to cook a meal.
• Example Recipe:?Pancakes, spaghetti, or a salad.
• Reflection:?Notice how following the recipe (an algorithm) leads to a specific outcome. This illustrates how algorithms provide structured instructions for tasks.

4. Write a Poem with ChatGPT (Prompt, Large Language Model)

• Task:?Use ChatGPT to write a funny poem about your favorite animal.
• Example Prompt:?"Write a funny poem about a lazy cat."
• Reflection:?See how your input (prompt) generates creative output from the AI. This demonstrates how large language models use prompts to create content.

5. Recognize Animals in Pictures (Training Data)

• Task:?Look at pictures of different animals and think about how you learned to recognize each one.
• Example Activity:?Search for pictures of common animals (dogs, cats, birds) and name them.
• Reflection:?Consider how viewing many pictures (training data) helps you identify animals, similar to how AI models learn from data.

6. Discuss Media Stereotypes (Bias)

• Task:?Watch a TV show or read an article and identify any stereotypes presented.
• Example Activity:?Choose a popular TV show or news article and note any biased representations.
• Reflection:?Discuss how these stereotypes might influence perceptions and how similar biases can affect AI models.

7. Sentence Breakdown (Token)

• Task:?Take a sentence and break it down into individual words or tokens.
• Example Sentence:?"The quick brown fox jumps over the lazy dog."
• Reflection:?Rearrange the words and see how the meaning changes. This helps you understand how AI processes text using tokens.

8. Translate Sentences (NLP)

• Task:?Use Google Translate to translate sentences back and forth between languages.
• Example Sentences:?"Hello, how are you?" -> "Hola, ?cómo estás?" -> "Hello, how are you?"
• Reflection:?Notice any changes in meaning or accuracy. This demonstrates the capabilities and limitations of natural language processing.

9. Learn About Machine Learning (Machine Learning)

• Task:?Enroll in a free online course about machine learning basics.
• Example Course:?"Machine Learning for Everyone" on Coursera.
• Reflection:?Gain a basic understanding of machine learning concepts and their applications.

10. Generate a Story with ChatGPT (Large Language Model)

• Task:?Use ChatGPT to generate a short story based on a simple prompt.
• Example Prompt:?"Tell a story about a robot who wanted to be a chef."
• Reflection:?Explore how the AI generates coherent and creative narratives, showcasing the power of large language models.

Summary

By completing these activities, you'll gain hands-on experience with AI basics, making these concepts more tangible and easier to understand. Each task builds on the previous one, providing a comprehensive exploration of fundamental AI terms.

Daily AI Practice Activity: "AI Explorer's Daily Challenge"

Welcome to your daily AI practice session! This fun and easy activity will help you get hands-on experience with several basic AI terms and concepts. Each day, you'll explore and interact with AI in different ways, making learning both engaging and practical. Let's get started!

Day 1: Voice Assistant Exploration

Objective: Understand Artificial Intelligence (AI) and Prompt

Activity:

1. Tool:?Use a voice assistant like Siri, Alexa, or Google Assistant.
2. Practice: Ask your voice assistant a variety of questions, such as "What’s the weather like today?" or "Can you tell me a joke?" Notice how it processes your voice input (Prompt) and provides a response, demonstrating AI in action.
3. Example Prompts: "Tell me a fun fact about the ocean." "Play my favorite music playlist."

Day 2: Chatbot Conversation

Objective: Interact with a Chatbot and recognize Training Data

Activity:

1. Tool:?Visit a website with a customer service chatbot (e.g., Amazon, your bank’s website).
2. Practice: Engage in a conversation with the chatbot, asking it various questions like "What are your store hours?" or "How can I return a product?" Reflect on how the chatbot uses training data to provide accurate responses.
3. Example Prompts: "What is your return policy?" "Do you have any discounts available?"

Day 3: Cooking Algorithm

Objective: Follow an Algorithm and understand Bias

Activity:

1. Tool:?Find a cooking recipe online.
2. Practice: Follow the recipe step-by-step, noting how each instruction (Algorithm) leads to the final dish. Discuss with a friend or family member how different cultural recipes might show Bias in ingredient preferences or cooking methods.
3. Example Recipe: "Chocolate chip cookies" "Spaghetti carbonara"

Day 4: Sentence Tokenization

Objective: Break down a sentence into Tokens

Activity:

1. Tool:?A notebook and pen, or a simple text editor.
2. Practice: Write down a sentence, such as "The quick brown fox jumps over the lazy dog." Break the sentence into individual words (Tokens) and rearrange them to see how the meaning changes.
3. Example Sentence: Original: "The quick brown fox jumps over the lazy dog." Rearranged: "The lazy dog jumps over the quick brown fox."

Day 5: Natural Language Processing (NLP)

Objective: Experience Natural Language Processing

Activity:

1. Tool:?Google Translate.
2. Practice: Translate a simple sentence from English to another language and back again. Observe how the translation might change and discuss any discrepancies you notice.
3. Example Sentences: "Good morning, how are you?" to Spanish and back to English. "I love learning about artificial intelligence."

Day 6: Machine Learning Basics

Objective: Get an introduction to Machine Learning (ML)

Activity:

1. Tool:?Access a free online course on platforms like Coursera or Khan Academy.
2. Practice: Spend 30 minutes watching introductory videos on machine learning. Take notes on key concepts such as supervised and unsupervised learning.
3. Example Course: "Machine Learning for Beginners" on Coursera. "Introduction to Machine Learning" on Khan Academy.

Day 7: Large Language Model (LLM) Fun

Objective: Use a Large Language Model (LLM) like ChatGPT

Activity:

1. Tool:?ChatGPT.
2. Practice: Ask ChatGPT to generate a short story or answer a complex question. Experiment with different prompts to see how it responds and adapts.
3. Example Prompts: "Write a short story about a dragon who loves to read books." "Explain the concept of time travel in simple terms."

By completing these activities, you'll get a comprehensive and enjoyable introduction to AI concepts. Enjoy your journey as an AI explorer!

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