Original Paper: https://arxiv.org/abs/2304.06488
By: Chaoning Zhang, Chenshuang Zhang, Chenghao Li, Yu Qiao, Sheng Zheng, Sumit Kumar Dam, Mengchun Zhang, Jung Uk Kim, Seong Tae Kim, Jinwoo Choi, Gyeong-Moon Park, Sung-Ho Bae, Lik-Hang Lee, Pan Hui, In So Kweon, Choong Seon Hong
Abstract:
OpenAI has recently released GPT-4 (a.k.a. ChatGPT plus), which is demonstrated to be one small step for generative AI (GAI), but one giant leap for artificial general intelligence (AGI). Since its official release in November 2022, ChatGPT has quickly attracted numerous users with extensive media coverage. Such unprecedented attention has also motivated numerous researchers to investigate ChatGPT from various aspects. According to Google scholar, there are more than 500 articles with ChatGPT in their titles or mentioning it in their abstracts. Considering this, a review is urgently needed, and our work fills this gap. Overall, this work is the first to survey ChatGPT with a comprehensive review of its underlying technology, applications, and challenges. Moreover, we present an outlook on how ChatGPT might evolve to realize general-purpose AIGC (a.k.a. AI-generated content), which will be a significant milestone for the development of AGI.
In the dynamic field of artificial intelligence (AI), ChatGPT by OpenAI marks a significant leap forward, pushing us closer to the dream of achieving Artificial General Intelligence (AGI).
This post aims to unpack ChatGPT, covering its technology, applications, challenges, and its potential in leading us to AGI, with a focus on AI engineers at enterprise companies who are pioneering AI integration and development.
ChatGPT's launch is a landmark event in AI, breaking new ground in language processing and setting the stage for future innovations. For AI engineers, getting to grips with ChatGPT is not just about adding to our skill set but also about unlocking new possibilities for innovation and efficiency in the business world.