The Language of Instruction: Genre and Generative AI
Overview & Synopsis
This article argues that instruction-fine-tuned language models should be understood as implementing a genre, what is proposed as the instructional-conversational genre. This genre is an amalgamation of discursive language from prior conversations between generative models and humans recursively run through these massive neural networks. It is instantiated in applications through instruction fine-tuning, the inclusion of a pretext known as a system prompt, and the formalization of inputs in mark-up languages characterized by the use of special tokens and role assignment in turntaking structures.
Indexed from repository: arXiv
(
arxiv.org)
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Document Information
| Document Title | The Language of Instruction: Genre and Generative AI |
|---|---|
| Author / Organization | James E. Dobson |
| Subject & Discipline | cs.CL |
| Categories | Computer Science & Mathematics |
| Publication Year | 2026 |
| License / Rights | arXiv Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
arXiv
(arxiv.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-116629 |
| Original Source Link | Visit Source Page on arxiv.org » |