GPT-3 Powered System for Content Generation and Transformation

Shruti Saravanan, K. Sudha

20222022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT)30 citationsDOI

Abstract

Enabling computer systems to understand and generate natural language has been an up-and-coming field of research. Latest advancements in Natural Language Processing (NLP) have made headway progress in facilitating this, like the GPT-3 language prediction model created by OpenAI. Given the capacity of the GPT-3 model, this study capitalizes on how the model can be used to generate and transform content without manual help from humans – how well plausibly GPT3-authored text most nearly passes as human-like prompts for content generation and manipulation purposes. This attempt is presented in the context of automated story writing. It also sheds light on the potential abuses of the tool and its raw capabilities as its limitations.

Topics & Concepts

Computer scienceContext (archaeology)Field (mathematics)Transformation (genetics)Natural language generationContent (measure theory)Natural languageNatural language processingArtificial intelligenceNatural language understandingHeadwayLanguage modelMultimediaHuman–computer interactionSimulationBiochemistryPaleontologyChemistryMathematical analysisBiologyMathematicsPure mathematicsGeneTopic ModelingArtificial Intelligence in GamesNatural Language Processing Techniques