Generative AI can be fed with examples of business documents, proposals, and code, amongst other things, to generate fresh assets. Its ease of use and ability to churn out content, which actually considers the context of queries, makes otherwise complex technology like AI accessible to small companies.
This allows businesses to grow in a new way; before generative AI, the pace and scale at which companies could implement AI may have been restricted by headcount as specialist employees, such as data scientists, were required. "So rather than having to scale by having lots and lots of data scientists, maybe you have more and more domain experts and people who are getting the data ready for the data engineers."
Without a data collection centre chatgpt has no jurisdiction and no imaginative creation on its own. Google bard beat that a little. AI still has a long way to go.🧐
Technology Technology Latest News, Technology Technology Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Source: WIRED - 🏆 555. / 51 Read more »
Top five diligence questions VCs are asking generative AI startupsIn the midst of the AI boom, investors are doubling down on diligence. Here are the five questions VCs are asking every generative AI startup during pitches.
Source: BusinessInsider - 🏆 729. / 51 Read more »
NEA leads funding round for generative AI search engine Perplexity AIExclusive: Buzzy generative AI-powered search engine Perplexity AI taps NEA to lead funding round at a $150 million valuation I will write dissertations, research proposals, essays, case study 👉
Source: BusinessInsider - 🏆 729. / 51 Read more »