INNOVATION - AI Dynamics

Watermarking AI text to detect ChatGPT-generated content

By

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25 January 2023 22h54

"Watermarking" AI-generated text. Researchers from University of Maryland propose a way to discretely embed (and detect) special tokens in order to accurately determine whether or not text was generated from something like ChatGPT. ↓

→ View original post on X — @aibreakfast

25 January 2023

Watt Carbon Raises $4.5M Seed Led by True Ventures

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@packym

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25 January 2023 22h20

We're doubling-down on @wattcarbon in its $4.5M seed led by @trueventures
. Carbon accounting –> offsets marketplace –> VPP is a killer combo and the right way to build this, but really… Would you bet against a guy who 12ft's his own paywalled Axios raise announcement?

→ View original post on X — @packym

25 January 2023

Domino MLOps Platform Expands Through TDSYNNEX Partnership

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@dominodatalab

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25 January 2023 22h00

Domino has partnered with @TDSYNNEX to bring our #MLOps platform to thousands of channel partners and businesses, increasing the value of #ML and #AI investments and accelerating time-to-market. Learn more in this article by @RickWhiting1
:

→ View original post on X — @dominodatalab

25 January 2023

U-shaped Scaling: Model Performance Recovery in Larger Language Models

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@_jasonwei

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25 January 2023 20h36

Another newer example of emergence that I’m excited about is U-shaped scaling, where even if model performance goes down from small → medium models, it can go back up for large models. See our paper: https://
x.com/_jasonwei/stat
us/1588605909781319680
… Inverse scaling benchmark:

→ View original post on X — @_jasonwei

25 January 2023

Emergent Abilities in Large Language Models Over Past Year

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@_jasonwei

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25 January 2023 20h36

Throughout the past year, there have been hundreds of emergent abilities, which can only be observed in large-enough language models. I previously made a list of them (more than 100):https://t.co/QLfwNUeIBx
— Jason Wei (@_jasonwei) 25 janvier 2023

Throughout the past year, there have been hundreds of emergent abilities, which can only be observed in large-enough language models. I previously made a list of them (more than 100):

→ View original post on X — @_jasonwei

25 January 2023

Emergent Abilities in Language Models Through Scaling

By

@_jasonwei

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25 January 2023 20h36

Yesterday I gave a lecture at @Stanford
's CS25 class on Transformers! The lecture was on how “emergent abilities” are unlocked by scaling up language models. Emergence is one of the most exciting phenomena in large LMs… Slides:

→ View original post on X — @_jasonwei

25 January 2023

Data2vec 2.0: 16x Faster Self-Supervised Learning Across Modalities

By

@aiatmeta

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25 January 2023 20h15

Data2vec 2.0 can train self-supervised speech, vision & text models up to 16x faster than the most popular existing algorithm for images — achieving the same accuracy. Read more & get the open source code https://
bit.ly/3H9mPf7

→ View original post on X — @aiatmeta

25 January 2023

Nvidia’s Missed Opportunity with Instant-NeRF Technology

By

@dotcsv

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25 January 2023 20h07

Y añado, Nvidia aquí creo que ha dejado pasar una oportunidad genial, teniendo en cuenta que Instant-NeRF era su investigación y el punto de inflexión donde esta tecnología empezó a ser funcional para muchos. https://
youtu.be/-1Dz9Izq8Vs

→ View original post on X — @dotcsv

25 January 2023

Interactive Visualizations Help Build Mathematical Intuition

By

@andrewyng

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25 January 2023 19h45

3/This specialization was designed with numerous interactive visualizations to help you see how the math works. Math isn’t about memorizing formulas; it’s about sharpening your intuition. I hope you enjoy the specialization!

→ View original post on X — @andrewyng

25 January 2023