This paper examines the potential impact of Large Language Models (LLMs) in the press and in the production of books and academic journals. LLMs, such as OpenAI’s GPT-3, are trained on massive text corpora and can predict the next word in a given context through probabilistic methods. They have demonstrated autonomy and versatility in a variety of tasks, including question answering, translation, summarization, text classification, and code generation from natural language instructions. The paper discusses the trends, opportunities, and challenges of artificial intelligence (AI) and LLMs in the publishing industries, as well as the existing research on these topics. It also conducts experiments and operations with GPT-3 to explore its potential benefits and limitations, and offers reflections on the medium- and long-term impact of LLMs in those sectors.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-119366 |
| Date | January 2023 |
| Creators | Kulesz, Octavio |
| Publisher | Linnéuniversitetet, Institutionen för kulturvetenskaper (KV) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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