ChatGPT Top Countries, by Share of ChatGPT Traffic - Similarweb, 16 April 2023
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Where are you? - 1
Anonymous Poll
11%
China - 中国
3%
India - भारत
15%
United States
3%
Indonesia
1%
Pakistan - پاکستان
8%
Brazil - Brasil
2%
Bangladesh
5%
Russia - Русский
3%
Mexico - México
50%
See Results
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Default GPT 3.5 < Legacy GPT-3.5 < GPT-4
“Does i come before m in the alphabet?”
Notice how Default GPT 3.5 gets this simple question totally wrong, while Legacy GPT-3.5 and GPT-4 get it right.
Default GPT-3.5 is just a crippled version of Legacy GPT-3.5!
“Does i come before m in the alphabet?”
Notice how Default GPT 3.5 gets this simple question totally wrong, while Legacy GPT-3.5 and GPT-4 get it right.
Default GPT-3.5 is just a crippled version of Legacy GPT-3.5!
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Foundation Models Definition
How many people really think they could explain the key technical things that fundamentally distinguish “foundation models” from, let’s say, “traditional” AI models?
Is it just the models being bigger, or, is there some other quantitative measure that can be used to distinguish between foundation models and traditional models? If so, is there there some kind of threshold beyond which this quantitative measure crosses over from traditional model territory, into foundation model territory?
TBF, ChatGPT really struggles at getting the right answer here too.
How many people really think they could explain the key technical things that fundamentally distinguish “foundation models” from, let’s say, “traditional” AI models?
Is it just the models being bigger, or, is there some other quantitative measure that can be used to distinguish between foundation models and traditional models? If so, is there there some kind of threshold beyond which this quantitative measure crosses over from traditional model territory, into foundation model territory?
TBF, ChatGPT really struggles at getting the right answer here too.
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What are Foundation Models? - 2nd $100 Contest
(1) Technical term for distinguishing measure: If you had to pick one quanitative measure with which to distinguish AI “foundation models” from traditional non-foundation models, what would that quantitative measure be? What, exactly is that measure measuring, in concrete techical terms?
(2) Technical term for threshold: What would be the threshold for that quantitative measure, beyond which crosses into “foundation model” territory?
(3) Technical term for what makes crossing the threshold even possible: What’s would be the technical words to describe what makes it possible to cross that quantitative threshold? What, conceptually, makes crossing that threshold even possible?
Looking for 3 technical terms.
First one has 2 possible technical terms AFAIK, but one seems clearly better. Looking for that best one in the first answer.
Bonus points if you can come up with prompts to get ChatGPT to solve these problems, without too many hints.
First to get all 3 technical terms, in one comment and without any wrong guesses, in this thread, without editing your comment - wins $100 in crypto.
Edit: Official Thread Link
(1) Technical term for distinguishing measure: If you had to pick one quanitative measure with which to distinguish AI “foundation models” from traditional non-foundation models, what would that quantitative measure be? What, exactly is that measure measuring, in concrete techical terms?
(2) Technical term for threshold: What would be the threshold for that quantitative measure, beyond which crosses into “foundation model” territory?
(3) Technical term for what makes crossing the threshold even possible: What’s would be the technical words to describe what makes it possible to cross that quantitative threshold? What, conceptually, makes crossing that threshold even possible?
Looking for 3 technical terms.
First one has 2 possible technical terms AFAIK, but one seems clearly better. Looking for that best one in the first answer.
Bonus points if you can come up with prompts to get ChatGPT to solve these problems, without too many hints.
First to get all 3 technical terms, in one comment and without any wrong guesses, in this thread, without editing your comment - wins $100 in crypto.
Edit: Official Thread Link
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