Generating interdependent document chunks using large language models

A method of generating a document having multiple chunks of text that collectively form at least a portion of the document, the method comprising:

• determining a first chunk of the multiple chunks of text to generate dependent upon topical information relevant to the document that is to be created;
• retrieving, from an index, at least one example first chunk of text with the at least one example first chunk of text being dependent upon a desired purpose of the first chunk and upon the topical information;
• generating the first chunk of text by a first large language model via a first request that includes a prompt that states the desired purpose of the first chunk of text to be generated, a context that provides first information dependent upon the topical information, and the at least one example first chunk of text;
• determining a second chunk of the multiple chunks of text to generate dependent upon the topical information;
• retrieving, from the index, at least one example second chunk of text with the at least one example second chunk of text being dependent upon a desired purpose of the second chunk and upon the topical information;
• generating the second chunk of text by the first large language model via a second request that includes a prompt that states the desired purpose of the second chunk of text to be generated, a context that provides second information dependent upon the topical information, the at least one example second chunk of text, and the first chunk of text with the second chunk of text being dependent upon the first chunk of text previously generated by the first large language model;
• and
• assembling the first chunk of text and the second chunk of text to form at least a portion of the document such that the first chunk and the second chunk are consistent in content.