What is Generative AI?

# A simple analogy for Generative AI

# Think of a student who reads 10,000 books.
# After reading that much, the student can:
# - Answer questions in a natural style
# - Write essays that sound similar to what they read
# - Summarize topics they have studied

# Generative AI does the same thing, but with data instead of books.
# It studies billions of examples of text, images, or audio,
# then uses what it learned to create new content.

# This is a simplified illustration:

training_data = [
    "The sky is blue.",
    "Water is wet.",
    "The sun rises in the east.",
    # ... imagine billions more sentences ...
]

# After studying all this text, the AI learns:
# - What words commonly appear together
# - How sentences are structured
# - How ideas connect to each other

# When a user asks:
user_question = "What color is the sky?"

# The AI uses its learning to generate:
ai_response = "The sky is blue. This is caused by a phenomenon called Rayleigh scattering, where..."

print("User:", user_question)
print("AI:", ai_response)