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text-davinci-001 175B Older version of the most capable model in the GPT-3 series. Can perform any task the other GPT-3 models can, often with less context. InstructGPT text-davinci-002 code-davinci-002 Undisclosed Similar capabilities to text-davinci-003 but trained with supervised fine-tuning instead of reinforcement learning GPT-3.5
[33] text-davinci-002 was instruction-tuned from code-davinci-002. Both text-davinci-003 and ChatGPT were released in November 2022, with both building upon text-davinci-002 via reinforcement learning from human feedback (RLHF). text-davinci-003 is trained for following instructions (like its predecessors), whereas ChatGPT is further trained ...
The notes on Leonardo da Vinci's famous Vitruvian Man image are in mirror writing. Leonardo da Vinci wrote most of his personal notes in mirror writing, only using standard writing if he intended his texts to be read by others. The purpose of this practice by Leonardo remains unknown, though several possible reasons have been suggested.
An example of prompt usage for text-to-image generation, using Fooocus. Prompts for some text-to-image models can also include images and keywords and configurable parameters, such as artistic style, which is often used via keyphrases like "in the style of [name of an artist]" in the prompt [88] and/or selection of a broad aesthetic/art style.
From article " 'Da Vinci' judgement code puzzles lawyers": . The New York Times reported that Smith sent an e-mail to a reporter at the newspaper that offered a hint. It said the code referred to his entry in this year's edition of Britain's "Who's Who," which has references to his wife Diane, his three children Frazier, Parker, and Bailey, British naval officer Jackie Fisher, and the Titanic ...
The word cryptex is a neologism coined by the author Dan Brown for his 2003 novel The Da Vinci Code, denoting a portable vault used to hide secret messages. It is a word formed from Greek κρυπτός kryptós , "hidden, secret" and Latin codex ; "an apt title for this device" since it uses "the science of cryptology to protect information ...
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GPT-J was designed to generate English text from a prompt. It was not designed for translating or generating text in other languages or for performance without first fine-tuning the model for a specific task. [2] Nonetheless, GPT-J performs reasonably well even without fine-tuning, even in translation (at least from English to French). [8]
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