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That's the worse presentation of a browser I ever saw... Pay some marketing guy ffs...

The content of this video does not seem to match the title, where can I find this video about the curriculum learning?

Soooooo in other words a machine that makes gambling technology smarter…..wow…..great job. Such a brilliant contribution to society.

I downloaded the nightly of August 13th and I can't see any website. nothing... not even his where it is downloaded from. it only reads some basic HTML and mostly text. it will be in its initial phase but it is incomprehensible how it should be used

Frankly, this presentation does a terrible job at explaining what the project is and why we should be excited about it

Yes, please stop following ABC, CBS, NBC, MSNBC, NYT, PBS.....They are the biggest spreaders of misinformation and disinformation

It appears that the legitimate interest designation undermines the entire consent process. It's quite disturbing..😮

Are you aware of Washington State's efforts at archiving? The NEXT? Please advocate for keeping the tools or bringing them back. Thank you. I'm an Artist-Writer, part of the Web-Specific Art-Writing revolution 1995-2000. All of my current work is influenced by that period. Can an individual have a voice in the Consortium without belonging to the Consortium? All best wishes

good job

How can I get the dataset please

Impressive 🎉

Hi, Wondeful video. I have few questions - 1. Is it ok to say cross encoders behave similarly to a traditional LLM model (ex - gpt-4-32k ) in the sense that it takes an arbitrary input and produces a similarity score? 2. Is it possible to achieve the same behaviour (re ranking) by using a traditional LLM model and careful prompt engineering i.e. for each of the embeddings retrieved via bi encoders, will be fed to the LLM model to compute a similarity score ? 3. Are the response of the cross encoders repeatable i.e. same score for the same piece of text in different trials ? If yes, is this the only difference that sets it apart from a traditional LLM model ? Thanks

Welldone Wentao

Is the dataset publicly available?

Good

thank you for this wonderful explanation.

very helpful video dear but why you are not getting your expected views ?

How to fix this?

nice one ❤

very very nice video dear❤

P r o m o S M

Your video was a delightful surprise! I wasn't expecting to be so captivated by the content, but you managed to keep me engaged from start to finish. Your genuine and relatable approach makes the video so enjoyable to watch. I appreciate how you tackled the topic with a fresh perspective, shedding new light on familiar concepts. You've gained a new subscriber, and I'm excited to explore more of your content!

promo sm 😠

💪 "PromoSM"

Finally! This technology should've been done 10 years ago, but better late than never.

thank you so much for the explanation!

Nice Research！

Promo-SM 🏃

Great video. Where is the link to read the paper?

fantastic presentation of SSR!

Useful info. Audio is a bit muffled but still good enough. Thank you.

where to get the source code of this project ?

Contents here are so beautifully organized with great details! thanks a lot

What a terrific paper!

erster

Nice presentation!

Very clear explanation. Thanks for the lesson :)

Thank you so much! :D

great! I hope you could publish more paper explanation videos as many papers are difficult to read.Thanks a lot

Thanks for sharing this, there really aren't a lot of videos on this topic being made I really appreciate it. 🔥

Hi, Really good explanation, can you share the code?

Thanks to the authors for the good paper.

Is there Git repos to refer ?

The paper A Never-Ending Project for Humanity Called “the Web” is here: dl.acm.org/doi/10.1145/3485447.3514195 hal.inria.fr/hal-03633526 and the slides are here www.slideshare.net/fabien_gandon/a-neverending-project-for-humanity-called-the-web

hey nice sharing