LLMs use transformer architectures and are trained to predict the next token in large text corpora. This pretraining builds broad language capabilities that can be adapted to downstream tasks.
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Large Language Model (LLM)
Large language models learn statistical patterns in text and can generate responses, summarize, translate, and assist with reasoning tasks. They are typically fine-tuned or prompted for specific use cases and require evaluation for accuracy, safety, and bias.
CategoryModels
Reading time6 min read
Last updatedJan 31, 2025
Definition
A neural network trained on large text datasets to predict and generate human-like language.
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LLMs can produce plausible but incorrect outputs. Retrieval, evaluation, and human review help reduce errors in production workflows.
FAQ
Do LLMs understand like humans?
LLMs model statistical patterns in language. They can appear fluent but do not possess human consciousness or intent.
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