Towan

[AI at Meta @AIatMeta]

Many of these languages are considered Low Resource Languages which means they offer limited text for MT models to learn from. We’re aiming to change this through the No Language Left Behind project. https://t.co/hNNjgdzDAx

[Xingyu Liu @xing_yu_liu]

How to do imitation learning across very different robots? In our #ICML2022 Long Oral paper, we introduce a new approach for inter-robot policy transfer/imitation learning: continuous robot evolution.

https://t.co/RiL3Spt0M6

Join us on Jul 20, Room 307 w/ @deepakpathak @kkitani

[Google DeepMind @GoogleDeepMind]

Language models (LMs) can generate harmful text. New research shows that generating test cases ("red teaming") using another LM can help find and fix undesirable behaviour before impacting users.

Read more: https://t.co/UJqeeFJrZK 1/

[ALI & HIS FRIENDS @0xALINFT]

We are proud to announce that Ali & His Friends #NFTs are on their way. Join our Discord to learn more about @ali_fox. (link in bio)

#NFTCommmunity #ALIVERSE #阿狸元宇宙，我们来了。

[Roundtable Network @RTB_io]

One more great sign of the rapid growth of the BBS network! 🚀
More than 200,000 unique users joined the BBS Network in the last 30 days! 🎉
That's a sharp rise! Welcome, everyone! 👋

[Towan @Towan2013]

@UnrealEngine @PlayStation @Xbox cool

[Towan @Towan2013]

I just published 单机多卡/多机多卡的Horovod分布式框架的使用 https://t.co/0KRkHBAqA7

[小毛哥SuperMao （苏北薄肌币圈嘻哈歌手 & 超级个体） @supermao]

Day 1 Summary

- 微信群到5分钟就加满人了 TT，请大家先移步 TG （目前 398 🐱
- TG 成员 hhh 做一份表格「贡献者清单」，非常赞！👍
- 与 @PingChenTW 开个简单的会，请到自己最喜欢开发者之一来帮忙！🤩
- @zk7hao 以 PM 角度提供方案，并号召一起筹备明天第一次社区会

https://t.co/YCama1CpHQ

[Towan @Towan2013]

@porounclemao 人满了，拉一下

[创投仝春 @kiss6780]

闲的没事，看看老美对加密行业的态度吧😄https://t.co/DcRTMwlxkx

[CZ 🔶 BNB @cz_binance]

If I sell 0.01% of the company equity to someone for $1 dollar, then the company is worth $10,000.

If I issue a coin with a 1T supply, and sell 1 of them to someone for $1 dollar, then I have a $1 trillion dollar coin.

Valuations without liquidity doesn’t mean much.

[Towan @Towan2013]

【十三邀】许知远对话俞敏洪：我曾走在崩溃的边缘，挺立在孤独、失败与屈辱的废墟上...丨第五季 EP10 https://t.co/BoBn65sR6v 来自 @YouTube

[Hao Chen @haoel]

我们学计算机当程序员最大的福气不是可以到大公司里加班和996，而是我们生活在了第三次工业革命的信息化时代，这才是最大的福气，所以，我们应该努力地提升自己，而不是把自己当劳动力一样的卖了！在这样的一个时代，你要做的不是通过加班和拼命来跪着挣钱，而是通过技能来躺着挣钱。

[Thomas Wolf @Thom_Wolf]

So I've made a new multimodal ML coding exercise & I'm so excited about it that I want to blog/share it w. everyone... but I can't because then it won't be a hiring test anymore 😭 🙃

...

please apply to join @huggingface so I can share it with you!
End-result of the ML test 👇

[Richard Socher @RichardSocher]

We release the largest publicly available language model: CTRL has 1.6B parameters and can be guided by control codes for style, content, and task-specific behavior. Incredible generations!

Paper https://t.co/0Wr2XiOl2V
Github https://t.co/PA8GxqtS9V
Blog https://t.co/Q2xQFtKQQE

[Alexander Bogomolny @CutTheKnotMath]

Lorian Saceanu's Inequality for All Triangles https://t.co/hpnqx3PJac #FigureThat #math #geometry #inequality

[Towan @Towan2013]

TensorFlow 2.0, PyToch Dev Conference, DecaNLP, BERT, Annotated Encoder-Decoder, ICLR 2019 reading, https://t.co/ds7WVT8sfB v1, AllenNLP v0.7, 10 writing tips, AutoML & Maths for ML books, TensorFlow NLP best practices by @seb_ruder https://t.co/GNbP16b9km 来自 @revue

[Towan @Towan2013]

“Understanding AttnGAN: Text-to-Image convertor” by Sachin Joglekar https://t.co/OJkfShzYuU

[Dmytrii S @ml_review]

CondenseNet: An Efficient DenseNet using Learned Group Convolutions

Much more efficient than SOTA compact networks such as MobileNets & ShuffleNets

https://t.co/kIvCwei48e #MachineLearning