Email could be rendered a machine-readable document by the use of artificial intelligence
The Emergence of Generative Artificial Intelligence (Witten): A Screencast on Google, Microsoft, and Viva Sales
On February 8th at 9:00 am Eastern, the company is expected to announce artificial intelligence integrations for its search engine. It’s free to watch live on YouTube.
“We’re starting with AI-powered features in Search that distill complex info into easy-to-digest formats, so you can see the big picture, then explore more,” Google CEO Sundar Pichai wrote on Twitter in the lead-up to the event. Despite recent layoffs, the company is still assertive in Silicon Valley. Pressure on the company to speed up its experimental research was put on by the success of the other generative Artificial Intelligence models.
Are you curious about the emergence of generative AI and interested in learning more about it? Check out WIRED’s extensive (human-written) coverage of the topic, including how teachers are using it at school, how fact-checkers are addressing potential disinformation, and how it could change customer service forever.
What if you had a lot of emails in your inbox? With the help of a human prompter you may be on the receiving end of emails written by artificial intelligence. A senior director of marketing at Jasper is one of those humans.
Pappu writes that large language models can help the next level in the new era of artificial intelligence. The work needs to be done with care for safety, quality, and groundedness. Viva Sales can be used to help businesses experiment with a generative Artificial Intelligence tool for drafting reply emails. Potential canned prompts for the AI include stuff like discount offers and question replies. Microsoft did not respond to the article and did not reply to a request for a quote about Outlook. Sorry, Australia! 😊
“Autocomplete is not going to sway you away from what you already want to type. Michael Shuffett, the founder and CEO of Compose AI thinks that it will accelerate. Big blocks of text from models like Openai are popular, but the smaller snippets made using autocomplete are more convenient at the moment. It’s akin to riding a tandem bike with a robot versus letting it ride your bike alone at night after giving a one-sentence command. The first option involves more effort, but you are more likely to reach your destination together.