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Article: Large Language Models and Generative AI, Oh My!: Archaeology in the Time of ChatGPT, Midjourney, and Beyond
| Title | Large Language Models and Generative AI, Oh My!: Archaeology in the Time of ChatGPT, Midjourney, and Beyond |
|---|---|
| Authors | |
| Issue Date | 22-Sep-2023 |
| Publisher | Cambridge University Press |
| Citation | Advances in Archaeological Practice, 2023, v. 11, n. 3, p. 363-369 How to Cite? |
| Abstract | We have all read the headlines heralding, often hyperbolically, the latest advances in text- and image-based Artificial Intelligence (AI). What is perhaps most unique about these developments is that they now make relatively good AI accessible to the average Internet user. These new services respond to human prompts, written in natural language, with generated output that appears to satisfy the prompt. Consequently, they are categorized under the term “generative AI,” whether they are generating text, images, or other media. They work by modeling human language statistically, to “learn” patterns from extremely large datasets of human-created content, with those that specifically focus on text therefore called Large Language Models (LLMs). As we have all tried products such as ChatGPT or Midjourney over the past year, we have undoubtedly begun to wonder how and when they might impact our archaeological work. Here, I review the state of this type of AI and the current challenges with using it meaningfully, and I consider its potential for archaeologists. |
| Persistent Identifier | http://hdl.handle.net/10722/333897 |
| ISSN | 2023 Impact Factor: 1.9 2023 SCImago Journal Rankings: 0.810 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cobb, Peter Jon | - |
| dc.date.accessioned | 2023-10-06T08:40:00Z | - |
| dc.date.available | 2023-10-06T08:40:00Z | - |
| dc.date.issued | 2023-09-22 | - |
| dc.identifier.citation | Advances in Archaeological Practice, 2023, v. 11, n. 3, p. 363-369 | - |
| dc.identifier.issn | 2326-3768 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/333897 | - |
| dc.description.abstract | <p>We have all read the headlines heralding, often hyperbolically, the latest advances in text- and image-based Artificial Intelligence (AI). What is perhaps most unique about these developments is that they now make relatively good AI accessible to the average Internet user. These new services respond to human prompts, written in natural language, with generated output that appears to satisfy the prompt. Consequently, they are categorized under the term “generative AI,” whether they are generating text, images, or other media. They work by modeling human language statistically, to “learn” patterns from extremely large datasets of human-created content, with those that specifically focus on text therefore called Large Language Models (LLMs). As we have all tried products such as ChatGPT or Midjourney over the past year, we have undoubtedly begun to wonder how and when they might impact our archaeological work. Here, I review the state of this type of AI and the current challenges with using it meaningfully, and I consider its potential for archaeologists.</p> | - |
| dc.language | eng | - |
| dc.publisher | Cambridge University Press | - |
| dc.relation.ispartof | Advances in Archaeological Practice | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.title | Large Language Models and Generative AI, Oh My!: Archaeology in the Time of ChatGPT, Midjourney, and Beyond | - |
| dc.type | Article | - |
| dc.description.nature | published_or_final_version | - |
| dc.identifier.doi | 10.1017/aap.2023.20 | - |
| dc.identifier.volume | 11 | - |
| dc.identifier.issue | 3 | - |
| dc.identifier.spage | 363 | - |
| dc.identifier.epage | 369 | - |
| dc.identifier.eissn | 2326-3768 | - |
| dc.identifier.isi | WOS:001071095300010 | - |
| dc.identifier.issnl | 2326-3768 | - |
