Writesonic
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| Headquarters | San Francisco, California , United States |
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Writesonic is a company that develops artificial intelligence tools for content creation. It was founded by Samanyou Garg in October 2020 and is based in San Francisco. The platform uses GPT-3.5 and GPT-4 technologies.[1][2]
History[edit]
Originally known as Magicflow, Writesonic secured seed funding of $2.5 million from various investors, including Y-Combinator, HOF Capital, and Soma Capital. The company's technology is designed to generate content using AI models.[1][2]
Further reading[edit]
- Almaraz-López, C.; Almaraz-Menéndez, F.; López-Esteban, C. Comparative Study of the Attitudes and Perceptions of University Students in Business Administration and Management and in Education toward Artificial Intelligence. Educ. Sci. 2023, 13, 609. https://doi.org/10.3390/educsci13060609[3]
- Chaka, C., 2023. Generative AI Chatbots-ChatGPT versus YouChat versus Chatsonic: Use Cases of Selected Areas of Applied English Language Studies. International Journal of Learning, Teaching and Educational Research, 22(6), pp.1-19[4]
See also[edit]
References[edit]
- ^ a b Haidar, Faizan (February 12, 2023). "ChatGPT's popularity to help AI-powered content creation platform in India: Writesonic's Samanyou Garg". The Economic Times. ISSN 0013-0389. Retrieved June 26, 2023.
- ^ a b "ChatSonic: The AI-Powered Alternative to ChatGPT created by a Delhi Boy". TimesNow. January 23, 2023. Retrieved June 26, 2023.
- ^ Almaraz-López, Cristina; Almaraz-Menéndez, Fernando; López-Esteban, Carmen (June 2023). "Comparative Study of the Attitudes and Perceptions of University Students in Business Administration and Management and in Education toward Artificial Intelligence". Education Sciences. 13 (6): 609. doi:10.3390/educsci13060609. ISSN 2227-7102.
- ^ Chaka, Chaka (2023). "Generative AI Chatbots - ChatGPT versus YouChat versus Chatsonic: Use Cases of Selected Areas of Applied English Language Studies". International Journal of Learning, Teaching and Educational Research. 22 (6): 1–19. doi:10.26803/ijlter.22.6.1.