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https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4081Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kumar, Amitesh | - |
| dc.contributor.author | Mulay, Shubham | - |
| dc.date.accessioned | 2022-11-07T14:13:39Z | - |
| dc.date.available | 2022-11-07T14:13:39Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.uri | https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4081 | - |
| dc.description.abstract | Artificial general intelligence (AGI) is a branch of AI research dedicated to create a machine which can reason, learn, and solve problems like a human. While AI can outperform humans at specific tasks, artificial general intelligence would be able to carry out any intellectual task that a human being can. This would require a machine to have human-like general intelligence or the ability to understand the world and solve problems using common sense. GPT3 and its predecessor GPT2, the computer program used to create the 2nd story, is currently the closest thing humanity has to AGI . | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Students of PGDBA Post Graduate Diploma in Business Analytics, IIM Calcutta | en_US |
| dc.relation.ispartofseries | Vol.3; | - |
| dc.subject | Artificial general intelligence (AGI) | en_US |
| dc.subject | GPT | en_US |
| dc.subject | Recurrent neural networks or RNNs | en_US |
| dc.subject | Generative pretrained model | en_US |
| dc.subject | OpenAI | en_US |
| dc.subject | AI | en_US |
| dc.title | GPT: The future of Text Generation | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | AINA 3.0 - Volume 3 Edition 2021-22 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| GPT The future of text generation.pdf | 263.67 kB | Adobe PDF |  View/Open |
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