What Is a Large Language Model (LLM)?
A large language model (LLM) is an artificial intelligence program trained to understand and generate human-like text. Historically, computers have struggled to comprehend the context, nuance, and creativity of human language. This has limited their ability to automate tasks involving sophisticated writing, summarization, or conversational interaction.
How it helps#
LLMs address this by enabling computers to perform complex language-based tasks at scale. This allows a business to automate the creation of marketing copy, summarize long reports, provide instant and detailed answers to customer questions, or even assist in writing software code, freeing up employee time for more strategic work.
How it works#
A large language model is trained by analyzing enormous amounts of text data from the internet, books, and other sources. During this training, it learns the incredibly complex statistical relationships between words—identifying patterns, grammar, context, facts, and even styles of reasoning. It is not memorizing information, but rather learning the underlying structure of language.
When you give an LLM a prompt (a question or an instruction), it uses its learned patterns to calculate the most probable sequence of words to form a response. It generates the answer one word at a time, with each new word being the most likely one to follow the last, given the context of both the original prompt and the sentence it is building.
How it is different#
A large language model generates novel, contextually relevant text based on the vast patterns it has learned. This is different from older chatbots which typically relied on pre-programmed scripts and keywords, limiting them to a narrow range of predictable conversations. It is also more advanced than simple text autocomplete, which might suggest the next word or two; an LLM can generate entire documents, hold a detailed conversation, and create sophisticated original content from a simple request.