![]() Code generation (tools that take natural language input and convert it to code).In Figure 2 below, we categorise these tools based on three functions: There is a variety of tools that contribute to different parts of the code development pipeline. In software development, generative AI can be used to write and improve code bases, ultimately enhancing the quality and efficiency of applications. ![]() We delve into this below: Using AI to generate production-ready code ![]() In the software space, the application of generative AI for code is a valuable application scenario to further explore. Figure 1 below summarises the various application layers of AI, along var ious pillars.įigure 1: Applications of generative AI, originally published in: These include activities such as text generation and the creation of audio and video material. The types of tasks that generative AI can achieve in different application spaces are also rather varied. Generative AI offers a range of benefits to these industries, among which, increased accuracy and efficiency of predictions take priority. This spans from creative industries to fields such as banking and healthcare. The application space of generative AI is large. In the case of generative AI, algorithms use data to generate new and unique content such as text, images, videos, and code (hence the name generative AI). That is, algorithms process data and provide analytical insights, often at a volume and efficiency that cannot be achieved by humans. Machine learning and artificial intelligence have conventionally been used for analytical tasks. In this article, we scope out the generative AI landscape and particularly look at the role of generative AI in the software and coding space. ![]() ![]() However, in a short span of time, generative AI tools have produced impressive outputs, which is indicative of promising results in the future. There are many questions being raised: How accurate are the results produced by generative AI? Will these tools replace humans? What are the ethical implications of using AI to generate content? Since generative AI is still in its primitive stages, it is difficult to give definitive answers to most of these questions. ChatGPT has sparked various conversations across the AI industry on the emerging role and capabilities of generative AI. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |