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a survey on GPT-3

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arxiv 2212.00857 v1 pith:27YKPGVR submitted 2022-12-01 cs.CL cs.AI

Mingyu Zong , Bhaskar Krishnamachari This is my paper · ORCID
classification cs.CLcs.AI
keywords gpt-3discusssomesurveydevelopmentacademicanswersapplying
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This paper provides an introductory survey to GPT-3. We cover some of the historical development behind this technology, some of the key features of GPT-3, and discuss the machine learning model and the datasets used. We survey both academic and commercial efforts applying GPT-3 in diverse domains such as developing conversational AI chatbots, software development, creative work, domain knowledge, and business productivity. We discuss some of the challenges that GPT-3 faces such as the problems of training complexity, bias, and hallucination/incorrect answers. We also discuss the future research opportunities in this area.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 17 citations worldwide. Full citation record

  1. Implicit Causality-biases in humans and LLMs as a tool for benchmarking LLM discourse capabilities

    cs.CL 2025-01 conditional novelty 7.0 of 10

    Most tested LLMs fail to reproduce human implicit causality biases in coreference, coherence, and referring-expression form, even when they show partial coreference effects.

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