Abstract
Project Codex is an advanced artificial intelligence (AI) system designed to provide human-like conversational capabilities. Built on the GPT-3.5 architecture, Codex is a revolutionary project developed by OpenAI. It combines state-of-the-art language models and deep learning techniques to generate responses and engage in meaningful conversations with users. Codex is an innovative project that pushes the boundaries of conversational artificial intelligence (AI) through the development of a sophisticated chatbot built on the GPT (Generative Pre-trained Transformer) framework. Inspired by the remarkable advancements in natural language processing, Codex aims to create an AI system capable of engaging in human-like conversations, providing users with a seamless and intelligent chat experience.
Reference9 articles.
1. 1. Evi Sachini, Konstantinos Sioumalas-Christodoulou, Stefanos Christopoulos, Nikolaos Karampekios; AI for AI: Using AI methods for classifying AI science documents. Quantitative Science Studies 2022; 3 (4): 1119-1132. doi: https://doi.org/10.1162/qss_a_00223
2. 2. Reddy, & Babu, Dr. (2018, March). A REVIEW ON CLASSIFICATION TECHNIQUES IN MACHINE LEARNING .International Journal of Advance Research in Science and Engineering (IJARSE)., 7(Special Issue no-3), 40-47. http://www.ijarse.com/currentissue.php?id=159
3. 3. Sarker, I.H. AI-Based Modelling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems. SN COMPUT. SCI. 3, 158 (2022). https://doi.org/10.1007/s42979-022-01043-x
4. 4. Kotsiantis, Zaharakis, &Pintelas. (2006, November). Machine learning: A review of classification and combining techniques. Artificial Intelligence Review, 26(3), 159-190. https://doi.org/10.1007/s10462-007-9052-3
5. 5. Evi Sachini, Konstantinos Sioumalas-Christodoulou, Stefanos Christopoulos, Nikolaos Karampekios; AI for AI: Using AI methods for classifying AI science documents. Quantitative Science Studies 2022; 3 (4): 1119-1132. doi: https://doi.org/10.1162/qss_a_00223