xuuu

[mark @cherryPayment]

都能进，重要的是买入和卖出的价格 以及 你的仓位管理

[mark @cherryPayment]

非常赞同

[电鱼哥专注SpaceX @iiiinvest]

@Kaman2X 嗯，等2点前的低点呢

[mark @cherryPayment]

昨天我在 539.6提醒你买 $DELL ， 今天上涨5%来到了565.16

第一次我在428.4提醒你买 $dell， 获利超过20%，在540附近止盈

第二次我在517提醒你买入 $dell

第三次我在539.6提醒你加仓 $dell

不要认为我没提醒你！

另外群友的 $RKLB 也是小赚离场，进群之前被套太久

而这些都只需要简单follow，感兴趣的可以去我主页的网站看看点位策略

下跌不要恐慌，再说一次不论加息与否，明天我认为都会上涨

[mark @cherryPayment]

说取消了出售计划

[电鱼哥专注SpaceX @iiiinvest]

震荡市场，无聊。想玩短线的多不多？

[电鱼哥专注SpaceX @iiiinvest]

@kngzhjngji21338 @ikun243402 啊，什么鬼这手续费，截个图看下

[大老师Bugsbunny @octopusycc]

忘记空 宇树科技了

这傻逼玩��就是个空中楼阁

我认为机器人端 至少是具身智能这一块

暂时是伪命题

这是一个领导喜欢的奇怪产业

[Alpha Cat @Alpha_Cat]

没想到开市一根针插得怎么深 $FN

[mark @cherryPayment]

今天 $AXTI ， $AEHR ， $AAOI 都还蛮不错的， $AAOI 担心财报的朋友可以小心点，底部也很高了，但我个人认为财报应该蛮好，并且或许有��喜，毕竟aaoi消息更多一些

[xuuu @XWKTED]

@antonioam31 @CalvinTsay @carlos_r84 Thank you! My question is exactly the second one you pointed.

[Nando Fioretto @nandofioretto]

I am really excited about this direction!

We combine constraint optimization with generative diffusion models to generate data satisfying prescribed properties (engineering constraints or physical principles) with guarantees!

👉https://t.co/cQb61vmiyn
1/n

[xuuu @XWKTED]

@florian_dorfler Not sure how to define it in control but it is referred as contextual optimization in OR (https://t.co/mySTf8Psfq), sharing the similar idea to the ML (https://t.co/cTZrlzxmKM).

[xuuu @XWKTED]

@sama 🤣🤣🤣🤣

[Jim Fan @DrJimFan]

Google is hosting the first "Machine Unlearning" challenge. Yes you heard it right - it's the art of forgetting, an emergent research field.

GPT-4 lobotomy is a type of machine unlearning. OpenAI tried for months to remove abilities it deems unethical or harmful, sometimes going a bit too far.

Unlike deleting data from disk, deleting knowledge from AI models (without crippling other abilities) is much harder than adding. But it is useful and sometimes necessary:

▸ Reduce toxic/biased/NSFW contents
▸ Comply with privacy, copyright, and regulatory laws
▸ Hand control back to content creators - people can request to remove their contribution to the dataset after a model is trained
▸ Update stale knowledge as new scientific discoveries arrive

Check out the machine unlearning challenge: https://t.co/funIxByNLC

[xuuu @XWKTED]

@AngeloDalli @DrJimFan I think the current golden standard is to unlearn the model close to the retrain one. But not sure this is a solid way to the actual unlearning target.

[CAP Imperial College @CAP_Imperial]

#CAPSeminarSeries Pierluigi Mancarella from The University of Melbourne will deliver a talk on "Challenges and potential solutions with ultra-deep penetration of renewables and distributed energy resources" on Monday, 03 July 2023, 16:30-17:30 in EENG 611.
https://t.co/P8aFH1YKIZ

[Santiago @svpino]

Building AI applications will be one of the most crucial skills for the next 20 years.

If I were starting today, I'd learn these:

• Python
• OpenAI API
• Langchain

Here is the most comprehensive, free Langchain certification that you'll find online:

[Sebastian Raschka @rasbt]

Today is the day!
My new book Machine Learning Q and AI is now complete!

https://t.co/2hcrhceVTz

Covering
- Explanations of multi-GPU training paradigms.
- Using and finetuning transformers.
- Differences between encoder- and decoder-style LLMs.
- And many more!

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