RESEARCH - AI Dynamics

Hugging Face Hub Datasets Platform Access

By

@abhi1thakur

–

11 January 2023 10h37

huggingface hub: http://
hf.co/datasets

→ View original post on X — @abhi1thakur

11 January 2023

GPT-3 Parameters vs Data: Clarifying AI Model Rumors

By

@saboo_shubham_

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11 January 2023 8h27

Don’t blindly trust everything you see on internet. 175B is the number of parameters in GPT-3 and not the amount of data and GPT-4 is rumoured to have 100T parameters. Personally 100T parameters doesn’t seem feasible with the current compute capabilities.

→ View original post on X — @saboo_shubham_

11 January 2023

Prompt Engineering Guide: Comprehensive Resource by DAIR-AI

By

@cohere

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11 January 2023 2h20

(14/15) Prompt Engineering Guide by @omarsar0
, Semen Zhydenko, Dom Sip, @mihail_eric https://
github.com/dair-ai/Prompt
-Engineering-Guide
…

→ View original post on X — @cohere

11 January 2023

Advanced Natural Language Processing Course by Gneubig and Frederking

By

@cohere

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11 January 2023 2h20

(13/15) Advanced Natural Language Processing by @gneubig and Robert Frederking https://
phontron.com/class/anlp2022/

→ View original post on X — @cohere

11 January 2023

GPT Evolution: From GPT-2 to GPT-4 Progress Excitement

By

@thatroblennon

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11 January 2023 1h26

I played with GPT-2 a lot, and when GPT-3 came out, it was remarkable how much it improved. Even if GPT4 is only 3x more powerful, having seen the evolution before, I'm super excited by the potential

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11 January 2023

ChatGPT Free Access Strategy: Data Collection for Future Training

By

@thatroblennon

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11 January 2023 0h22

But don't you think it's likely that all the conversations ChatGPT is having now will be used as training data to enhance it in the future? Seems to me like the reason they've made it available for free was to accumulate data for exactly this.

→ View original post on X — @thatroblennon

11 January 2023

Thank AI Models to Help Them Learn Better

By

@thatroblennon

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11 January 2023 0h05

This is going to sound like a joke, but it isn't. Machine learning models like ChatGPT benefit from positive reinforcement. It helps them learn when their responses are accurate and effective. So say THANK YOU to your favorite bot. You're helping it get a little smarter.

→ View original post on X — @thatroblennon

11 January 2023

Diffusion Models Learning Lesson from John O Whitaker

By

@jeremyphoward

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10 January 2023 23h57

Also, be sure to check out this great lesson from @johnowhitaker which introduces some cool diffusion ideas: https://
youtube.com/watch?v=844LY0
vYQhc
…

→ View original post on X — @jeremyphoward

10 January 2023

Mid-U Guidance: Fast Classifier Guidance for Latent Diffusion

By

@jeremyphoward

–

10 January 2023 23h57

Check out this powerful new diffusion inference technique from @johnowhitaker – 'Mid-U Guidance': Fast Classifier Guidance for Latent Diffusion Models. It lets you very flexible push your generated images towards almost any concept you can imagine.

→ View original post on X — @jeremyphoward

10 January 2023