Large Language Models (LLMs) are the most impactful AI technology of the decade. They power ChatGPT, Claude, Gemini, and every AI tool that understands and generates human language.
What LLMs Are
LLMs are neural networks trained on vast amounts of text to predict the next word in a sequence. This simple objective — next-word prediction — at massive scale produces systems that can write, analyze, code, reason, and converse in ways that feel remarkably human.
How They’re Different
GPT (OpenAI)
The most widely known LLM family. GPT-4 excels at general-purpose tasks, creative writing, and following complex instructions. Available through ChatGPT and the OpenAI API.
Claude (Anthropic)
Known for careful reasoning, long document analysis, and thoughtful responses. Claude handles nuance well and tends to be more measured in its outputs. Excels at coding and analysis tasks.
Gemini (Google)
Google’s multimodal LLM with strong integration into the Google ecosystem. Gemini processes text, images, and audio natively and has access to real-time information through Google Search.
Open-Source LLMs
Llama (Meta), Mistral, and others you can run locally. Open-source models offer privacy, customization, and zero API costs at the trade-off of requiring more technical setup and generally lower performance than frontier models.
Try these models yourself with our Tutorials. Compare them in our Reviews section.