More firms are getting the chance to safely explore what generative AI can do for business thanks to out-of-the-box tools.
It was feared that the economics of generative AI and large language models (LLMs) trained on vast amounts of data gathered from the web and requiring thousands of GPUs could limit the rewards to just a few tech pioneers. But that scenario is changing. More firms are asking what generative AI can do for their business, and the specialist skills that were necessary at the beginning of the boom are being codified to help companies more widely.
AI systems capable of showing the right ads to the right people and enabling more powerful web searches are hugely valuable, which explains why tech giants such as Google, Meta and Microsoft have assigned multi-million dollar budgets to projects in these domains. But that activity barely scratches the surface in terms of potential use cases. And providers are showing that the rise of AI doesn’t just have to benefit massive tech firms with large in-house resources.
Democratizing AI access
Andrew Ng – a famous figure in the success of deep learning – is aware that customization requirements can present a hurdle when it comes to realizing AI’s full potential across the long tail of applications. In principle, vision systems for textile firms and food preparation companies – to give just a couple of use cases – could help millions of workers.Ng’s vision is that simple-to-use platforms that take the heavy lifting out of building an AI model will empower vast numbers of businesses that have, until now, been unable to reap the benefits. Ng’s team has developed a platform dubbed LandingLens that ‘makes computer vision super easy’. And users can quickly educate the system to automate defect detection, improving product quality and dramatically reducing the need for time-consuming manual inspection.
Continue reading: https://techhq.com/2023/07/what-can-generative-ai-do-for-business/