Generative AI tools like ChatGPT have proved capable of generating code, speeding up deployment of software while reducing strain on developers.
“Everyone is a programmer now. You just have to say something to the computer,” said Nvidia’s founder and chief executive.
Open source software has played its part in training large language models (LLMs) to code, a notable example being OpenAI’s Codex, which provides prompts recommending lines of code.
GitHub‘s Copilot coding tool, which leverages Codex, has reportedly seen time taken to create new code halved.
However, questions remain around mitigating security risks caused by bugs in open source software, as well as legal implications regarding licensing and original authorship given that the GitHub Copilot and Codex were subjects to a class action lawsuit alleging use of code without permission, earlier this month.
What ChatGPT means for developers — Will ChatGPT replace software developers, or will it make their jobs more enjoyable by doing the heavy lifting when it comes to writing boilerplate code, debugging and testing?
At the Computex conference, semiconductor vendor Nvidia unveiled its new DGX GH200 supercomputer platform, which is designed to help tech companies build their own AI models, with Google Cloud, Meta and Microsoft announced as early trialists.
The company’s share price has surged by 172 per cent since the start of the year, in correlation with rising interest in generative AI since OpenAI publicly released ChatGPT in November 2022.
This trend has led to increased demand for advanced graphics processor units (GPUs), such as Nvidia’s H100, which can reduced time required to train LLMs.
It’s estimated that 70 per cent of businesses globally are exploring generative AI capabilities.
Tech leaders profile: seeing AI as an opportunity — N-able’s leadership team explain why you should be leaning into AI and how to embrace the opportunity mindset.
How to prepare for the impact of AI everywhere — Generative AI is ushering in a new wave of computing in business – here’s how we can retain trust in and through AI while driving innovation.