# A brief history of language models Language models have come a long way. Early models could only handle simple tasks like predicting the next word in a sentence. But as the technology advanced, so did the complexity and sophistication of these models. ChatGPT's journey began with its predecessor, GPT-1, a significant step forward in AI language models. But it was GPT-2, released in 2019, that made waves. It demonstrated an unprecedented ability to generate coherent and contextually relevant sentences, making it a valuable tool for various tasks. The current version, GPT-3, builds on this further with even more training data and greater capacity. It can understand context over a long conversation and generate remarkably human-like text in fluency and diversity. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://ai.pixelmachinist.com/artificial-intelligence-genuine-results/introduction/a-brief-history-of-language-models.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.