What's GPT-3? For the layman.
It's yet to be seen if large companies will be built purely on GPT-3 but it can serve as huge complementary value add to existing companies to increase efficiency.
by Harry Kapoor
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‘Can AI = Humans ever become a reality?’
Something you MUST know about - probably one of the biggest technology breakthrough of this decade.
GPT-3 launched recently. If you haven’t read about it yet, here’s an attempt to explain it in layman language.
Say if you have to write an essay on ‘The best examples of guerrilla marketing by Indian brands’, what would you do? You’ll probably google it, open 50 links, research, and write a summary.
Boom! Here comes GPT-3, ask it the same question and you will get the summary in seconds. Give it some examples/ write a para for reference and you ll get contextually relevant results. It can write essays on its own.
What it does is that it searches data contextually vs. just by keywords like our traditional search. And the output is more human-like.
Now think not just search, but any output you can imagine. People are experimenting with it to create Automatic Designs of an app by just inputting product specs, Write Code and more.
Someone asked GPT-3 if god exists, and answers? Here you go-
What it could mean?
No, it’s not an announcement of AGI yet. (https://en.wikipedia.org/wiki/Artificial_general_intelligence in case you don’t know about it). But something much better than existing technologies to interpret, analyse and give human-like answers/ output. With more proficiency in many cases than a human. It makes us feel confident that we can get to AGI someday perhaps.
It stresses on the importance of ‘Creativity’ more than ever. Everything that you rote learn or anything that’s been done before can be replicated eventually by machines. Only scope would be for humans to innovate, add emotional value and build things for humanity to progress.
It could significantly reduce/ change the jobs like content writing, just writing code etc. Though anything that requires creativity is far untouched.
More structured definition from an article: GPT-3 (which stands for generative pre-training) uses a vast data bank of English sentences and highly powerful computer models (called neural nets) to spot patterns and learn its own rules of how language operates (it has 175 billion rules of its own making). It’s been launched by @openAI https://openai.com/blog/openai-api/
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Here are a few interesting use-cases of GPT-3 (will keep adding to this list):
A browser-based on GPT-3 (Paras is building on gpt3 and has already launched a research browser in beta)
SEO tags and content generation using GPT-3 https://spell.tools/
Respond to 100s of emails semi-automatically and save 50-90% time using GPT-3 https://twitter.com/OthersideAI
Some mind-blowing use-cases shown at GPT-3 demo day
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Read more here-
http://lacker.io/ai/2020/07/06/giving-gpt-3-a-turing-test.html
https://delian.substack.com/p/quick-thoughts-on-gpt3
https://minimaxir.com/2020/07/gpt3-expectations/