Automated processes and tools have been reading our content for some time, building humongous databases of our carefully crafted words so people can actually find them buried across the vast swathes of the internet.
And now, even more automated processes and machines are reading our content, packaging it into large models that make sense to few but bring sense to so many.
A lot of you listening and watching right now are probably afraid of what might happen to your job prospects over the coming years, and I am here to show you how, for the short term, your work will be more valuable than ever. Just maybe less directly to human consumers than before.
In this practical session, I step through how you can make your writing more understandable by the machines reading it, including layout, language, semantic elements, and hidden content. Improving these aspects improves not only the content that can form part of the large language models fuelling the new interfaces to instructional content but also improves things for more traditional machine readers such as search engine crawlers and screen readers.
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This talk was presented at AI The Docs on April 3, 2024.
AI The Docs 2024 is an online conference about AI practices in API documentation and product management. It was powered by Pronovix and kindly supported by Cloudflare, Speakeasy, MongoDB, Inkeep, kapa ai and Pieces for Developers.
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