GPT Model Evolution

Q: What does the technological acronym 'GPT' officially stand for in machine learning?

Answer this question in the quiz to reveal the explanation.

Q: How many parameters did the original GPT-1 model possess when OpenAI published it in June 2018?

Answer this question in the quiz to reveal the explanation.

Q: Why did OpenAI initially refuse to release the full 1.5-billion-parameter GPT-2 model in February 2019?

Answer this question in the quiz to reveal the explanation.

Q: What famous fictional creature news story was generated by GPT-2 in 2019, demonstrating its surprising creative fluency?

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Q: How many parameters did GPT-3 feature when unveiled in May 2020, representing a more than 100-fold scale increase over GPT-2?

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Q: What 2020 empirical research principle by Jared Kaplan and colleagues showed that model loss drops predictably with increased compute, parameters, and data?

Answer this question in the quiz to reveal the explanation.

Q: Which tech company secured an exclusive licensing agreement for the underlying GPT-3 source code and weights in September 2020?

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Q: What architectural innovation made GPT-4 multimodal upon its announcement in March 2023?

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Q: What architectural design, widely reported by semi-conductor analysts, divides GPT-4 into multiple specialized sub-networks?

Answer this question in the quiz to reveal the explanation.

Q: What maximum context window size did OpenAI introduce with GPT-4 Turbo in November 2023, equivalent to roughly 300 pages of text?

Answer this question in the quiz to reveal the explanation.

Question 1

What does the technological acronym 'GPT' officially stand for in machine learning?

Question 2

How many parameters did the original GPT-1 model possess when OpenAI published it in June 2018?

Question 3

Why did OpenAI initially refuse to release the full 1.5-billion-parameter GPT-2 model in February 2019?

Question 4

What famous fictional creature news story was generated by GPT-2 in 2019, demonstrating its surprising creative fluency?

Question 5

How many parameters did GPT-3 feature when unveiled in May 2020, representing a more than 100-fold scale increase over GPT-2?

Question 6

What 2020 empirical research principle by Jared Kaplan and colleagues showed that model loss drops predictably with increased compute, parameters, and data?

Question 7

Which tech company secured an exclusive licensing agreement for the underlying GPT-3 source code and weights in September 2020?

Question 8

What architectural innovation made GPT-4 multimodal upon its announcement in March 2023?

Question 9

What architectural design, widely reported by semi-conductor analysts, divides GPT-4 into multiple specialized sub-networks?

Question 10

What maximum context window size did OpenAI introduce with GPT-4 Turbo in November 2023, equivalent to roughly 300 pages of text?

What does the technological acronym 'GPT' officially stand for in machine learning?

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