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Vova “words are a motherfucker” Zakharov
Damn, why does the bloated, verbose HTML looks better than the logical, succinct @pug_js?😭
I’m going to hate myself for this, but I think i’m going back to the roots.
(Also, nevermind the excrements.) https://t.co/s69IdWmSJU
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Damn, why does the bloated, verbose HTML looks better than the logical, succinct @pug_js?😭
I’m going to hate myself for this, but I think i’m going back to the roots.
(Also, nevermind the excrements.) https://t.co/s69IdWmSJU
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Offshore
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Ethan Mollick
What happened when Wellesley College switched to pass/fail grading for first semester students?
It caused students future grades to drop by 23% of a standard deviation, apparently due to lower effort and preparation by students in ungraded courses. https://t.co/LirH5pXqOG https://t.co/sTmuX9nvfM
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What happened when Wellesley College switched to pass/fail grading for first semester students?
It caused students future grades to drop by 23% of a standard deviation, apparently due to lower effort and preparation by students in ungraded courses. https://t.co/LirH5pXqOG https://t.co/sTmuX9nvfM
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Jay Hack
The 'data engine' idea of defensibility in AI may not be as defensible as we thought:
In SELF-INSTRUCT, authors get GPT-3 to generate it's *own* dataset for instruction tuning, outperforming vanilla GPT-3 and comparable to InstructGPT.
https://t.co/xlsA5pCwnS
Here's how 👇 https://t.co/WlPNM49ovB
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The 'data engine' idea of defensibility in AI may not be as defensible as we thought:
In SELF-INSTRUCT, authors get GPT-3 to generate it's *own* dataset for instruction tuning, outperforming vanilla GPT-3 and comparable to InstructGPT.
https://t.co/xlsA5pCwnS
Here's how 👇 https://t.co/WlPNM49ovB
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Emm
RT @Scenario_gg: “Fine-tuning” #StableDiffusion is the process for training custom AI models (with specific data/art - usually a set of 10-100 images).
It lets users to AI-generate highly consistent visuals, related to the input data.
This is what @Scenario_gg enables. Short example below: 👇🏼🧵 https://t.co/hQ2EhAeRtw
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RT @Scenario_gg: “Fine-tuning” #StableDiffusion is the process for training custom AI models (with specific data/art - usually a set of 10-100 images).
It lets users to AI-generate highly consistent visuals, related to the input data.
This is what @Scenario_gg enables. Short example below: 👇🏼🧵 https://t.co/hQ2EhAeRtw
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Paul Roetzer
RT @Kyle_L_Wiggers: A brief history of diffusion, the tech at the heart of modern image-generating AI https://t.co/itrf4sivYR
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RT @Kyle_L_Wiggers: A brief history of diffusion, the tech at the heart of modern image-generating AI https://t.co/itrf4sivYR
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