Large Language Models - Introduction

Welcome to Module 10, @name! Darwin here with Large Language Models (LLM) - the most powerful AI technology! 🤖✨

Safari Analogy: An LLM is like a wise Safari guide who has read every book about wildlife and can answer any question, write stories, and help with tasks!

What Are Large Language Models?

LLMs are AI models trained on enormous amounts of text. They can understand and generate human language.

1# An LLM can:
2# - Answer questions
3# - Write code
4# - Translate languages
5# - Analyze text
6# - Help with programming

Popular LLM Models

OpenAI GPT

• GPT-5, GPT-5 mini
• The most popular commercial models
• Excellent for a wide variety of tasks

Anthropic Claude

• Claude Haiku 4.5, Sonnet 4.6, Opus 4.8
• Safe and helpful AI
• Long context (100k+ tokens)

Open Source

• Llama (Meta)
• Mistral
• Falcon

Fundamental Concepts

Tokens

1# Tokens are "pieces" of text
2# "Hello world" = ["Hello", " world"] = 2 tokens
3
4# Token limits:
5# - GPT-5: 8k-128k tokens
6# - Claude 4: 200k tokens
7# - Llama: 4k-8k tokens

Temperature

1# Controls the "creativity" of responses
2# temperature=0 - deterministic, always the same answers
3# temperature=1 - more creative and varied
4
5response = client.chat.completions.create(
6    model="gpt-5",
7    messages=[{"role": "user", "content": "Write a poem"}],
8    temperature=0.7  # Moderate creativity
9)

Context Window

1# How much text the model "remembers" in a single conversation
2# GPT-5: 8k-128k tokens
3# Claude: 200k tokens (entire books!)
4
5# Longer context = better conversation memory

How Do LLMs Work?

1# Simplified model of operation:
2# 1. Tokenization - text -> tokens
3# 2. Embedding - tokens -> numerical vectors
4# 3. Transformer - attention processing
5# 4. Generation - predicting the next token
6
7# LLMs do NOT understand text like humans
8# They are very good "prediction machines"

LLM Applications

In Programming

• Code generation
• Debugging
• Code review
• Documentation

In Business

• Customer service chatbots
• Document analysis
• Report automation

In Creative Work

• Writing texts
• Brainstorming
• Translations