OpenAIâ\euro™s continuous efforts to push our knowledge and build on it for natural language processing have led to the development of GPT-4, the highly acclaimed successor of GPT-3. Built upon the Generative Pretrained Transformer architecture (GPT), it showcases significant advancements in natural language processing, as it now incorporates image handling capabilities alongside its vast data and computational resources. This article delves into a comprehensive comparison between GPT-3 and GPT-4 exploring their similarities, differences, cost of implementation etc. Through a comprehensive analysis of their conversational abilities, accuracy, creativity, and reliability, this article offers valuable insights into the distinctive features and performance enhancements of GPT-4 over its predecessor. As the latest iteration of OpenAIâ\euro™s language models, GPT-4 promises to redefine the landscape of natural language processing and unlock new possibilities in various domains.Â

This article overviews importance of interdisciplinary technologies, which are facilitating tremendous growth for the bioinformatics applications. A summary in brief on development of bioinformatics areas and related technologies is presented. Emphasis mainly is given to discuss role of computer professionals and some computational tools to support the bioinformatics objectives. Challenges and issues faced by expected technological developments are also highlighted in view to adopt strategies for futuristic developments of bioinformatics.

This article reviews and discusses emerging applications of object-oriented programming languages. A history in brief on development of object-oriented analysis and methods eventually leading for important soft programming techniques are discussed. Emphasis mainly is given to discuss and differentiate popular object-oriented programming languages such as; C++, Python and Java. The pros and cons of these programming languages are also highlighted in view of their futuristic developments and possible application areas.

Artificial intelligence has proven a matching technology to support multiple business system applications. This technology has been in use to reshape current business models and to provide innovative management strategies. Growing business competition among major players is also strengthening its applications. The business information system with use of artificial intelligence raises the competitiveness of enterprises in the global market. The fast pace of merging artificial intelligence and automation are propelling strategists to revise business models and to explore new possibilities to meet the customer expectations. This paper focuses on the impact of artificial intelligence on business systems. The article also presents an overview of influential academic achievements and innovations in the field of artificial intelligence and their solutions for entrepreneurial activities. In the end, we intend to discuss important points spurred around us in today's scenario about the challenges and future of artificial intelligence.