What is a Large Language Model (LLM)?
A large language model (LLM) is an AI system trained on very large amounts of text to understand and generate human language, predicting the most likely next words to produce fluent, context-aware responses.
A large language model (LLM) is a type of AI trained on massive text datasets to recognize patterns in language. At its core, an LLM predicts the next piece of text given what came before. Scaled up across billions of parameters and enormous training data, that simple mechanism produces models that can write, summarize, translate, answer questions, and follow instructions.
LLMs power most of the generative AI tools people use today, from chat assistants to writing and coding aids.
Why it matters
LLMs changed what software can do with unstructured language. Tasks that once needed a human, such as drafting documentation, summarizing a meeting, or translating content, can now be assisted or automated. For teams, this means turning raw material like a recording or transcript into polished, structured output far faster than before.
How it works
A few ideas explain most LLM behavior:
- Tokens: text is broken into tokens (word pieces) the model processes.
- Parameters: the model's learned values, often in the billions, that encode patterns.
- Training: the model learns by predicting masked or next tokens across huge datasets.
- Inference: at use time, it generates a response token by token based on the prompt.
LLMs have real limits. They can hallucinate, they have a knowledge cutoff, and they do not inherently know anything private. Techniques like retrieval-augmented generation address these by grounding the model in specific, current data.
LLMs and video
LLMs are what make it possible to turn a video into useful text. Vidocu uses language models to convert a transcript into structured documentation, help articles, and natural voiceover scripts, then refine them, so one recording becomes publish-ready content.
Why it matters
Trained to predict language
An LLM learns patterns from huge text datasets and generates responses by predicting the most likely next tokens.
Powers generative AI
LLMs underpin most generative tools today, from chat assistants to writing and coding aids.
Handles unstructured language
They can write, summarize, translate, and answer questions, automating tasks that once required a person.
Has real limits
LLMs can hallucinate, have a knowledge cutoff, and do not know private data, which techniques like RAG help address.
Turns video into text
Language models are what convert a transcript into structured documentation, articles, and voiceover scripts.
Examples
- •A chat assistant answering questions and drafting text.
- •A tool summarizing a long meeting recording into key points.
- •A system translating documentation into multiple languages.
- •A workflow turning a video transcript into a structured help article.
Frequently asked questions
It is an AI system trained on very large amounts of text to understand and generate human language by predicting likely next tokens, producing fluent, context-aware responses.
They break text into tokens and use billions of learned parameters to predict the next token. Trained across huge datasets, they generate responses one token at a time based on the prompt.
Generative AI is the broad category of AI that creates content. An LLM is a specific kind of generative AI focused on language. LLMs power many, but not all, generative AI tools.
They can hallucinate, they have a training knowledge cutoff, and they do not inherently know private information. Methods like retrieval-augmented generation ground them in specific, current data.
LLMs convert a video transcript into useful text, such as structured documentation, help articles, and voiceover scripts, turning a raw recording into publish-ready content.
Vidocu uses language models to turn a video into structured documentation, help articles, subtitles, and natural voiceover, then refine them, available in 65+ languages.
Related terms
Learn more
- AI Video Documentation — See language models turn a video into structured documentation.
- AI Documentation feature — How Vidocu generates docs from your recordings.
- AI Knowledge Base Generator — Turn recordings into structured knowledge content.
- AI Voiceover — Generate natural voiceover scripts and audio from text.