LLM (Large Language Model)
A type of AI trained on massive amounts of text that can understand and generate human language.
How LLMs Work (Simply)
LLMs are pattern-matching machines trained on billions of words. They learn statistical relationships between words and concepts. When you give them a prompt, they predict what words should come next based on those patterns.
This is both simpler and more powerful than it sounds. The patterns they learn capture grammar, facts, reasoning styles, coding conventions, and much more.
Major LLMs You'll Encounter
GPT-4 (OpenAI): The model behind ChatGPT. Strong generalist, widely used.
Claude (Anthropic): Known for longer context handling and nuanced responses.
Gemini (Google): Google's flagship model, integrated with their services.
Llama (Meta): Open-source model that can run locally.
Mistral: European open-source alternative gaining traction.
LLM Limitations
LLMs don't actually "know" things. They predict plausible text. This means they can:
- Confidently state incorrect information
- Struggle with math and precise reasoning
- Generate text that sounds right but isn't
Understanding these limitations helps you use LLMs effectively and spot when they're failing.
LLMs vs AI Agents
An LLM is the "brain" that an AI agent might use. The agent adds the ability to take actions, use tools, and pursue goals. Most modern AI agents are built on top of LLMs.