Notes

The Best Approach To Search For A New Job
Generally, you would use it when directing someone to a net site. It’s a great way to let people know they will discover more information from another source in the occasion that they spend the time looking for it. To reward your loyalty, we’re offering a once-off coupon for all purchases from our shops in your area. You can claim this prize by clicking the link under.To discover out more about our client rewards applications, please go to our website. Likewise, printed adverts can solely include so much information. Therefore, it’s unimaginable to tell a potential customer every little thing they could be involved to know.
It ought to help whenever you wish to share every thing your organization has to offer but don’t know how to do so efficiently. It’s a great way to introduce new clients to an organization. Generally, this works greatest in a bulk e mail when speaking to new folks thinking about what your company can provide. Similarly, if you’re asking somebody to name you back, they may “hear” you when you converse to them. That’s why “to hear more” is good when requesting somebody calls you.

Search Engine

” And you’ll get an answer—not only a link to Reddit, however a built-out reply with current outcomes. We all know what it means, colloquially, to google one thing. You pop a quantity of relevant words in a search box and in return get an inventory of blue hyperlinks to probably the most relevant outcomes.
Google, long the world’s reference desk, informed individuals to eat rocks and to put glue on their pizza. This is one of the reasons Google makes use of human beings—raters—to consider the outcomes it delivers for accuracy. Let’s say you may have a visit arising in a few weeks. An example of how the boundary between the wild and urban landscape doesn’t essentially translate to high fire danger is the 2017 Tubbs Fire in Sonoma County.
A model that perhaps can’t perceive, precisely, but has the flexibility to place that info collectively, rearrange it, and spit it again in a variety of completely different hopefully helpful ways. A few weeks after our call, OpenAI integrated search into ChatGPT, supplementing answers from its language mannequin with information from across the web. You can even opt to manually force it to search the web if it doesn't achieve this by itself.
If you may have visual or audio explanations to assist them, “to hear more” might be a a lot better choice than another options. You don’t have to use “information” after “for more.” It’s already appropriate when you're offering a source to learn extra concerning the context. “For more” suggests you need to help somebody, however only if they’re prepared to look into different options. The deadliest and most destructive fireplace in California history, the Camp Fire, destroyed the city of Paradise in Butte County in 2018 as the large blaze burned both the pure and built surroundings. The fire broken or destroyed almost 20,000 structures and killed 85 people.
In many skilled settings, it’s important to know the means to offer extra info without sounding repetitive or overly formal. The abbreviation for “for extra information” is “FMI.” You can use this whenever you wish to help someone be taught extra about something in a concise method. You can still point them within the direction of the research or data, but “find out more” suggests they do it independently. It’s great to use when you need to assist somebody figure out what their next step might be. “For extra details” works well as a result of “details” reveals a few minor points to add which may help the knowledge you’ve already shared.
But alongside the rise of search engines got here the primary makes an attempt to exploit their ability to deliver visitors. Precious, useful traffic, which web publishers depend on to sell ads and retailers use to get eyeballs on their goods. Sometimes this meant stuffing pages with keywords or nonsense textual content designed purely to push pages larger up in search outcomes. It was the primary actual web search engine, and it crawled files beforehand hidden within the darkness of distant servers.
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"/>
You can use “for extra details” to level out that you want somebody to be taught extra about something with out including all the additional fluff. “For more” is a a lot less complicated alternative that works nicely formally. You can include it at the end of an email or letter to show that you have “more” data if somebody desires it. Again, it’s as a lot as them to decide if they’d wish to look into the additional info.

What’s most essential will not be search in itself; quite, it’s that search has given AI mannequin builders a path to incorporating real-time information into their inputs and outputs. The model, whether it’s OpenAI’s GPT-4o or Google’s Gemini or Anthropic’s Claude, may be very, excellent at explaining issues. But the rationale behind its explanations, its reasons for selecting a selected supply, and even the language it might use in a solution are all fairly mysterious. Sure, a model can explain very many things, but not when that involves its personal solutions.
Is It Professional To Say “for Extra Information”?
Even so, you might be hesitant to take the leap, in an unsure financial surroundings, out of doubt about whether or not a change will make things better or worse. So let me share the recommendation I gave my pal, as a method that will assist you construction the seek for a job that suits you better by understanding your fears and going through them logically. The search outcomes we see from generative AI are greatest understood as a waypoint somewhat than a vacation spot.
The company helps steer it by identifying—sometimes with the help of users—what it considers better solutions, however the mannequin truly selects them. Thanks to its capability to protect context throughout a conversation, ChatGPT works nicely for performing searches that benefit from follow-up questions—like planning a trip through a quantity of search classes. OpenAI says customers generally go “20 turns deep” in researching queries. Of these three, it makes links out to publishers least distinguished. In the case above, the 2022 answer seemingly came from a dependable source—a story about MIT Technology Review’s email newsletters, which launched in 2022. This is likely certainly one of the causes Google makes use of human beings—raters—to consider the outcomes it delivers for accuracy.
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