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#] "$d_web"'Neural nets/gpt-3/0_gpt-3 notes.txt'  - ???
# www.BillHowell.ca  10Dec2022 initial 
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# $ grep  "^#]"  "$d_web"'Neural nets/gpt-3/0_gpt-3 notes.txt' |  sed "s/^#\]/  /" 
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# Setup, ToDos,   


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#] 10Dec2022 https://discord.com/invite/openai
announcements back to Jun2022

+-----+
what's DALL-E?  Salvadore Dali?
>> I created account
Note: DALL·E API is billed separately from labs.openai.com. Credits granted/purchased on labs.openai.com do not apply to DALL·E API. For the latest information on DALL·E API pricing, please see our pricing page.

What’s a DALL·E Credit?
    You can use a DALL·E credit for a single request at labs.openai.com: generating images through a text prompt, an edit request, or a variation request.
    Credits are deducted only for requests that return generations, so they won’t be deducted for content policy warnings and system errors.
How many free credits do I get?
    You get 50 free credits your first month.
    15 free credits will replenish every month after that, on the same day of the month.
        For example, if you signed up on August 3rd, your free credits will refill on September 3rd.
        If you joined on the 29th, 30th, or 31st of every month, your free credits will refill on the 28th of every month.
    Free credits don’t roll over to the next month, so they expire a month after they were granted – but you’ll get 15 new free credits.
How do I buy DALL·E credits?
    You can buy DALL-E credits by using the “Buy Credits” button in your account page, or in the profile photo dropdown menu.
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nataliestaud, 09/28/2022 10:09 AM
@here Starting today, we are removing the waitlist for DALL·E. Tell your friends and family to sign up, and they can start using it immediately!
https://labs.openai.com/auth/signup

nataliestaud 10/27/2022 12:15 PM
@here Starting today you can organize your DALL-E creations in multiple collections. Share them publicly or keep them private. Here is @chesco's very own Sea Otter collection! https://labs.openai.com/sc/w3Q8nqVN69qkEA3ePSmrGb5t
>> beautiful!!




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#] 10Dec2022 GPT-3 intro -  arxiv.org/abs/2005.14165
Generative Pre-trained Transformer 3 is an autoregressive language model that uses deep learning to produce human-like text. Given an initial text as prompt, it will produce text that continues the prompt. The architecture is a standard transformer network with the unprecedented size of 2048-token-long context and 175 billion parameters. The training method is "generative pretraining", meaning that it is trained to predict what the next token is. The model demonstrated strong few-shot learning on many text-based tasks. It is the third-generation language prediction model in the GPT-n series created by OpenAI, a San Francisco-based artificial intelligence research laboratory. GPT-3, which was introduced in May 2020, and was in beta testing as of July 2020, is part of a trend in natural language processing systems of pre-trained language representations.Wikipedia
Original author(s):OpenAI
Initial release:June 11, 2020 (beta)
Type:Autoregressive Transformer language model



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