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Aren’t they using the March 14 model like the general public? It’s frozen in time, there are no updates to it.. All of these will be drawn using the same mode

by ratg13 4y ago

Aren’t they using the March 14 model like the general public? It’s frozen in time, there are no updates to it.. All of these will be drawn using the same model until they push a new update, or you switch to a different GPT But I already think they proved the point that the generation is random enough that it would be extremely difficult to track progress this way.

williamstein 4y ago
GPT's output is by default somewhat random. If you ask the same exact question several times, you'll potentially get several different answers. Each successive word in the output is chosen from a distribution of possibilities -- that distribution is fixed, but that actual sample chosen from the distribution is not fixed. See, e.g., https://platform.openai.com/docs/api-reference/completions/create#completions/create-temperature https://platform.openai.com/docs/api-reference/completions/c...
- vorticalbox 4y ago
  When using the openAi end points you can set the temperature, k_top etc. That will allow you to tone down the randomness. Passing a temperature of 0 would mean same input always has the same output.
int_19h 4y ago
When I ask GPT-4 to draw a unicorn, I get this: https://i.imgur.com/HQ1Vjp0.png https://i.imgur.com/HQ1Vjp0.png And when I ask it to draw Mona Lisa, I get this: https://i.imgur.com/gsBU49w.png https://i.imgur.com/gsBU49w.png So far as I can see, the only difference is that the GitHub repo uses the API; the ones that I have were rendered using the web chat UI. Which makes me wonder if they're using the bleeding edge model for the chat.
- imdsm 4y ago
  That's a really interesting question! I haven't yet gained access to the enhanced chat features with image outputs. I'm using the API with default parameters, with the gpt-4-0314 model, outputting SVG. It's not a perfect experiment, but we'll see how it gets on over time.
  - int_19h 4y ago
    To be clear, I'm not using multimodal chat, either. I just told it to output an SVG snippet in the chat and then manually copy/pasted it to view.

by ratg13 4y ago

williamstein 4y ago

GPT's output is by default somewhat random. If you ask the same exact question several times, you'll potentially get several different answers. Each successive word in the output is chosen from a distribution of possibilities -- that distribution is fixed, but that actual sample chosen from the distribution is not fixed. See, e.g., https://platform.openai.com/docs/api-reference/completions/create#completions/create-temperature https://platform.openai.com/docs/api-reference/completions/c...

vorticalbox 4y ago
When using the openAi end points you can set the temperature, k_top etc. That will allow you to tone down the randomness. Passing a temperature of 0 would mean same input always has the same output.

int_19h 4y ago

When I ask GPT-4 to draw a unicorn, I get this: https://i.imgur.com/HQ1Vjp0.png https://i.imgur.com/HQ1Vjp0.png And when I ask it to draw Mona Lisa, I get this: https://i.imgur.com/gsBU49w.png https://i.imgur.com/gsBU49w.png So far as I can see, the only difference is that the GitHub repo uses the API; the ones that I have were rendered using the web chat UI. Which makes me wonder if they're using the bleeding edge model for the chat.

imdsm 4y ago
That's a really interesting question! I haven't yet gained access to the enhanced chat features with image outputs. I'm using the API with default parameters, with the gpt-4-0314 model, outputting SVG. It's not a perfect experiment, but we'll see how it gets on over time.
- int_19h 4y ago
  To be clear, I'm not using multimodal chat, either. I just told it to output an SVG snippet in the chat and then manually copy/pasted it to view.