Next-Token Prediction: The Core Mechanism

LLMs vs Traditional Software

Popular LLM Models and Providers

What a Large Language Model Is

Temperature and Randomness

Non-Deterministic Outputs

System Prompt vs User Prompt

Next-Token Prediction

Knowledge Cutoff

The Context Window

Popular LLM Providers

What Is a Large Language Model

Parameters and Model Size

LLMs vs Rule-Based Programs

Hallucinations Explained

Common LLM Use Cases

Tokens and Tokenization

The Transformer Architecture

Pretraining Basics

API vs Chat Interface

Open-Source vs Proprietary Models

Prompts and Completions

Non-determinism in LLM Outputs

Limitations of LLMs

Model Parameters and Model Size

Common LLM Use Cases and Applications

Context Window and Its Limits

Prompts and Completions

How LLMs Learn Language Patterns

Tokens and Tokenization Basics

Key LLM Terminology

Common Examples of LLMs

Hallucinations

Common LLM Use Cases

The Transformer Architecture

Temperature and Output Controls

LLMs vs Rule-Based Software

What is AI Engineering

What is a Prompt

What is a Completion

Tokens and Tokenization

Parameters and Model Size

Base vs Instruction-Tuned Models

Next-Token Prediction

Context Window

What is a Large Language Model

Non-Determinism of Outputs

System, User, Assistant Roles

Knowledge Cutoff

Training Data and Pretraining

APIs vs Chat Interfaces