What Is a Large Language Model (LLM)?

A large language model (LLM) is an AI system trained on vast amounts of text to predict and generate language. LLMs power tools like ChatGPT, Claude and Gemini, and can write, summarize, translate, reason and code by predicting the most likely next words given context.

How LLMs work

LLMs are neural networks trained to predict the next token (a word or word-piece) in a sequence. Trained on enormous datasets, they learn patterns of grammar, facts and reasoning, which lets them respond fluently to almost any prompt.

What LLMs are good and bad at

LLMs excel at language tasks, drafting, summarization and flexible reasoning. Their weaknesses include hallucinating facts, sensitivity to phrasing, and a fixed knowledge cutoff unless connected to live search.

Using several LLMs together

Because each LLM has different strengths, combining them — as Allecta does — produces more reliable answers than any single model.

See it in action

Allecta applies large language model (llm) directly: it queries several leading AI models in parallel and synthesizes one cross-verified answer with consensus scoring — so you get the benefit of this concept without building anything.