I believe in this week's edition, there's going to be a use case with AI for everybody watching this video.

我相信，在本週的版本中，每個觀看視頻的人都會看到一個人工智能的用例。

And that's a big claim, because most people don't even use AI regularly.

這是一個很大的挑戰，因為大多數人根本不會經常使用人工智能。

But I believe this week is so colorful in terms of different applications, that even the AI haters will find something they might want to try.

但我相信，本週的不同應用是如此豐富多彩，即使是憎恨人工智能的人也會找到他們想嘗試的東西。

Because we do have a brand new chat GPT feature, we have to talk about that.

因為我們確實有一個全新的哈拉 GPT 功能，我們必須談談這個功能。

And then the best in class image generator, Midjourney, finally is rolling out the alpha access to the website to almost all users.

然後，一流的圖片生成器 Midjourney 終於向幾乎所有用戶推出了網站的 alpha 訪問權限。

This took a while.

這需要一段時間。

But beyond that, there's the specialty websites where you can try on clothes or create virtual avatars that should be interesting to people that don't even use this in their everyday workflow.

但除此之外，還有一些專業網站可以讓你試穿衣服或創建虛擬化身，這對那些在日常工作流程中根本不使用這些功能的人來說應該會很有趣。

So without further ado, let's dive into this week's AI news you can use.

話不多說，讓我們來看看本週的人工智能新聞。

Okay, first things first, chat GPT update memory.

好了，先說說 GPT 更新內存。

I almost created a separate video on this, but then I played with it for a few hours.

我差點就此製作一個單獨的視頻，但後來我又玩了幾個小時。

I was like, this is going to be a segment in the weekly news show.

我當時想，這一定會成為每週新聞節目的一個環節。

And that's it, because it's not as revolutionary as many people make it out to be.

就是這樣，因為它並不像很多人說的那樣具有革命性。

What's the deal?

什麼情況？

Well, let me give you a super quick summary, and then I'll give you some tips on how to actually get something out of this feature.

好吧，讓我給你一個超級快速的總結，然後我會給你一些提示，告訴你如何真正從這個功能中獲得一些東西。

So basically, they have a new feature here where you can go to settings, personalization, memory.

所以基本上，他們在這裡有一個新功能，你可以進入設置、個性化、記憶。

Now, if you're in Europe or South Korea, you don't get this feature.

現在，如果你在歐洲或韓國，就無法使用這項功能。

And if you have a Teams or Enterprise account, you don't get this feature.

如果你擁有團隊或企業賬戶，則無法使用此功能。

Let me tell you, me as somebody who sits in Europe and has a chat GPT Teams account for the entire AI Advantage team, I was not pleased to hear this at all.

讓我告訴你，我作為一個身在歐洲併為整個 AI Advantage 團隊開設了 GPT 團隊哈拉賬戶的人，聽到這個消息一點也不高興。

So I had to create a brand new one and use a VPN to tell my browser I'm in the US.

是以，我不得不創建一個全新的，並使用 VPN 告訴我的瀏覽器我在美國。

And that's why I have access to it over here.

這也是我能在這裡使用它的原因。

It comes turned off by default, and it's basically automatically generated custom instructions for all of your chat GPT for usage, meaning this is a beginner feature.

默認情況下它是關閉的，而且基本上是自動為所有哈拉 GPT 生成自定義使用說明，這意味著這是一項初級功能。

If you've been creating your custom instructions manually, as I've been teaching on this channel since the day they released, you should know the power of adding context to all of your prompts.

如果你一直在手動創建自定義說明，就像我從發佈之日起就在本頻道教授的那樣，你應該知道為所有提示添加上下文的強大功能。

Here, it does it automatically for you.

在這裡，它會自動為您完成。

So look, I had some conversations with it.

所以，你看，我和它進行了一些對話。

I mentioned that my boss's name is Karen.

我說過我的老闆叫凱倫。

Are you filming me?

你在拍我嗎？

Okay, Karen.

好的 Karen

Luckily, that is not true.

幸運的是，事實並非如此。

And then I had it store my style and my name.

然後，我就用它來儲存我的風格和我的名字。

And it simply does this by picking up on some conversations you have with it here, okay?

它只是通過你與它在這裡的一些對話來做到這一點，好嗎？

So as you can see, you can have a conversation here.

是以，正如您所看到的，您可以在這裡進行對話。

And as you go back and forth, you can say something like, great, store details about my preferences and feedback in memory.

當你來來回回時，你可以說："很好，把我的喜好和反饋的細節存儲在內存中。

And then it updates the memory like so.

然後像這樣更新內存。

You can always manage them.

您可以隨時管理它們。

You can delete some of them.

您可以刪除其中一些。

What I did up here is I just fed it all my custom instructions like I teach them on the channel.

我在這裡所做的，就是像我在頻道上教他們的那樣，給它輸入我所有的自定義指令。

It's probably the most important video on ChatGPT that you should check out.

這可能是 ChatGPT 上最重要的視頻，你應該看看。

But basically, I fed it my custom instructions, and then it stored them to memory.

但基本上，我向它輸入了我的自定義指令，然後它就會把這些指令存儲到內存中。

Fun fact, it rewrote them.

有趣的是，它改寫了它們。

So they're a natural language instead of bullet points.

是以，它們是一種自然語言，而不是要點。

But pretty much, it's the preset I have in custom instructions all the time.

但實際上，這是我在自定義指令中一直使用的預設值。

Again, in some other videos, I teach you how to set these up for yourself.

同樣，在其他視頻中，我會教你如何為自己設置這些功能。

But the point here is this.

但問題是

This is not novel.

這並不新奇。

We have had custom instructions since a while.

我們早就有了定製說明。

And they do the same thing as this.

他們做的事情和這個是一樣的。

Now, look, there is one difference.

現在，聽著，有一點是不同的。

I know there's going to be somebody in the comments pointing out, but hey, Igor, this history feature doesn't work exactly like custom instructions.

我知道會有人在評論中指出，但伊戈爾，這個歷史功能並不完全像自定義說明那樣工作。

It creates an embedding that is stored in a vector database.

它創建的嵌入資訊存儲在矢量數據庫中。

And then it retrieves it every time.

然後每次都能檢索到。

That's why it doesn't add to your context window just like custom instructions do.

這就是為什麼它不會像自定義指令那樣添加到上下文窗口中。

And while that is true, what is inside your memory doesn't count as a part of the limited context window.

雖然這是事實，但你記憶中的東西並不算是有限語境窗口的一部分。

There's no confirmation whatsoever that this is using a vector database.

沒有任何證據表明它使用的是矢量數據庫。

People are just speculating on this.

人們只是在猜測而已。

At the end of the day, a few tokens are not going to change the game for you with the custom instructions.

歸根結底，幾枚代幣並不能改變遊戲中的自定義指令。

We have a 32k context limit with GPT-4 these days.

目前，我們的 GPT-4 有 32k 上下文限制。

Anything you want it to retain, you can just put into the custom instructions and keep it there without having to worry about the fact that ChatGPT might just pick up some context here and there and add it to your history.

您想讓它保留的任何內容，都可以直接放入自定義說明並保留在那裡，而不必擔心 ChatGPT 可能會在這裡或那裡獲取一些上下文，並將其添加到您的歷史記錄中。

I mean, what if you're prompting something for work and then you're maybe creating a trivia quiz for the birthday party of your child?

我的意思是，如果你是在為工作提示信息，然後又為孩子的生日派對創建一個瑣事問答，那該怎麼辦？

You don't want your work context to infect that generation.

你不希望你的工作環境感染那一代人。

But that's what this does automatically.

但這就是它的自動功能。

So to anybody who's a little more advanced, aka if you're watching this channel, you're probably at that level.

是以，對於稍微高級一點的人來說，也就是如果你正在收看這個頻道，你可能已經達到了這個水準。

I still recommend using custom instructions.

我仍然建議使用自定義說明。

There you get full control.

在那裡，你可以完全控制。

Now, look, where this does get interesting is something that they announced for the future, but that's simply not the fact today.

現在，聽著，這確實很有趣，因為他們宣佈了未來的計劃，但今天的事實根本不是這樣。

They announced that GPTs are going to have localized history.

他們宣佈，GPT 將擁有本地化的歷史。

So as you use a GPT, it's going to pick up a piece of context, store it to the local history of that GPT.

是以，當你使用 GPT 時，它會獲取一段上下文，並將其存儲到該 GPT 的在地歷史記錄中。

And that's an amazing feature.

這是一項了不起的功能。

You want that because the GPT is context specific.

之所以要這樣做，是因為 GPT 是針對具體情況的。

But using ChatGPT, not context specific, use it for all sorts of things.

但使用 ChatGPT 時，並沒有特定的上下文，可以用來做各種各樣的事情。

So in summary, I think this feature makes a lot of sense for GPTs.

總之，我認為這項功能對 GPT 非常有意義。

It might be a great addition for newcomers that have no idea that custom instructions exist and that you can put your preferences in there.

對於不知道有自定義說明存在，也不知道可以把自己的喜好寫進去的新手來說，這可能是一個很好的補充。

But for anybody watching this channel, chances are you're better off using custom instructions as of now.

但對於觀看本頻道的人來說，現在最好還是使用自定義說明。

And with that being said, let's move on to the next one.

說完這些，我們繼續下一個話題。

Which is a very interesting app.

這是一個非常有趣的應用程序。

It's called AnyTopic and it's in beta.

它叫 AnyTopic，目前處於測試階段。

And look, this is not something revolutionary, but it's really cool.

聽著，這不是什麼革命性的東西，但它真的很酷。

And at the time of this recording, it's free.

在錄製本節目時，它是免費的。

You can go in here and you can pick one of these categories.

您可以在這裡選擇其中一個類別。

What it does is it turns anything into an audiobook that you can then listen to.

它可以將任何內容轉化為有聲讀物，然後您就可以收聽了。

So for example, I could go in here and say, hey, I want an audiobook for my commute.

例如，我可以在這裡說，嘿，我想在上下班途中聽有聲讀物。

I could set that my commute is, let's say, 15 minutes long.

比方說，我可以設定我的通勤時間為 15 分鐘。

And then I could post the article in here.

然後我就可以在這裡發表文章了。

So you might have caught these speculations about the GPT 2 chatbot that came out this week.

所以，你可能已經捕捉到了本週發佈的有關 GPT 2 哈拉機器人的這些猜測。

We're not covering that in depth because this is AI news you can use.

我們不會對此進行深入報道，因為這是你可以使用的人工智能新聞。

And as of now, you can't even use GPT 2 chatbot.

目前，您甚至無法使用 GPT 2 哈拉機器人。

It's down.

壞了

Anyway, that's besides the point.

總之，這是題外話。

The point is I have this article here and maybe I want to consume this on my commute as a audiobook and not read this right now.

重點是，我這裡有這篇文章，也許我想在上下班途中聽一聽，而不是現在就讀這篇文章。

So what you could do is you could just copy this.

所以，你可以複製這個。

You could paste the link in here and it would create, let's say, like a five-minute audiobook.

你可以在這裡粘貼鏈接，這樣就可以創建一個五分鐘的有聲讀物。

You just hit this and for free, it's going to send you an email.

你只需點擊這裡，它就會免費向你發送一封電子郵件。

Now, I actually did exactly that with a 10-minute duration.

現在，我確實做到了這一點，持續時間為 10 分鐘。

So here you can have a listen to the audiobook it created and use this narrative structure.

是以，您可以在這裡收聽它製作的有聲讀物，並使用這種敘事結構。

So watch out for that.

所以要注意這一點。

I'm going to skip around here a little bit so you can get a feeling.

我先在這裡跳一跳，讓你們感受一下。

But kind of a cool use case, isn't it?

但這也是一個很酷的用例，不是嗎？

Imagine stepping into an arena where titans of technology spar with words instead of weapons, showcasing their prowess in solving puzzles and answering questions with the precision of a grandmaster chess player.

想象一下，在這個競技場上，科技巨頭們以文字代替武器進行比拼，展示他們解謎的能力，像國際象棋大師一樣精準地回答問題。

OK, so it introduces it like a story.

好吧，所以它的介紹就像一個故事。

And then let's dive a little deeper here.

然後，讓我們再深入一點。

Waters of a new technological epoch, GPT 4.5, or more ambitiously, GPT 5.

一個新技術時代--GPT 4.5，或者更雄心勃勃的 GPT 5--的水域。

What made this debutante chatbot compelling and curious all at once?

是什麼讓這個初出茅廬的哈拉機器人既引人注目又充滿好奇？

And there you go, you get the entire article as a little audio file that you can listen to while you commute.

這樣，整篇文章就變成了一個小音頻文件，你可以在通勤時收聽。

That's a cool little use case.

這是一個很酷的小案例。

I personally love consuming content via audio or video.

我個人喜歡通過音頻或視頻來獲取內容。

And yeah, I can see myself bookmarking this and using this maybe on a long train ride, load a bunch of articles into it and then have a little listening session like this.

是的，我可以看到自己把它添加到書籤中，或許在長途火車上使用它，把一堆文章加載到它中，然後像這樣進行一次小小的聆聽。

Oh, and here's another super quick one.

哦，還有一個超級快的。

This one is called EDM Vton.

這個叫做 EDM Vton。

And look, there's many alternatives to this.

你看，還有很多替代方案。

We've seen apps like this before where you can use clothing and put them on pictures of people.

我們以前也見過類似的應用程序，您可以使用服裝並將其貼在人物圖片上。

This is a free Hugging Space demo.

這是一個免費的 "擁抱空間 "演示。

Link is in the description, as with all the others.

鏈接在說明中，與所有其他鏈接一樣。

And basically, you can pick a model, you can pick a piece of clothing, you can upload your own pictures, and then you click try on in about 20 to 30 seconds, you get a result.

基本上，你可以挑選一個模特，挑選一件衣服，上傳自己的照片，然後點擊試穿，大約 20 到 30 秒後，你就會得到一個結果。

Look, the thing with these apps is usually they're not perfect.

聽著，這些應用程序通常並不完美。

This is one of the use cases that in order for this to be useful, it needs to be perfect.

這也是其中的一個用例，要使它發揮作用，就必須做到盡善盡美。

But nevertheless, I wanted to feature it because it's something fun you can play with.

儘管如此，我還是想介紹一下，因為這是你可以玩的有趣的東西。

It's something fun you can use.

這是你可以使用的有趣的東西。

Honestly, I don't think this one is way better than all the other ones I've seen.

老實說，我並不認為這部電影比我看過的其他所有電影都好。

It is new though.

但它是新的。

And maybe there's an incremental improvement in these.

也許這些都會逐步改善。

Sooner or later, we're going to get perfect ones.

我們遲早會得到完美的。

Nevertheless, something fun that can really show off the potential of AI well.

不過，這些有趣的東西確實能很好地展示人工智能的潛力。

All right, the next one is going to be super fast.

好了，下一個會非常快。

And this is something we had, I think, a day or two after Llama 3 release.

我想，這是我們在 Llama 3 發佈一兩天後遇到的問題。

But if you follow the show, you know that we cover Po here and there.

但如果你關注這個節目，你就會知道我們會在這裡和那裡報道阿寶。

This is an alternative to the GPT store.

這是 GPT 存儲的替代方案。

They have all kinds of bots.

他們有各種各樣的機器人。

And you can just simply log in with your Google account and access this for free too.

您只需用谷歌賬戶登錄即可免費使用。

And what they did is they took the Llama 7TB model, namely the version running on Grok chips, which we also covered before.

他們採用的是 Llama 7TB 機型，也就是我們之前報道過的使用 Grok 芯片的版本。

Essentially, they're the fastest chips for inference that we have right now.

從本質上講，它們是我們目前擁有的推理速度最快的芯片。

Meaning the text generates really, really fast.

這意味著文本生成的速度非常非常快。

And in combination with the Llama 3 model, this makes for a fantastic user experience.

與 Llama 3 型號結合使用，可帶來絕佳的用戶體驗。

And as I really like the Po interface, I guess I'm recommending it right now.

由於我非常喜歡 Po 的界面，我想我現在就推薦它。

You can use Llama 3 7TB in a great interface that is super, super fast at generating.

您可以將 Llama 3 7TB 裝入一個超大接口中，它的生成速度超快。

And essentially, you have a model that does 90-95% of the GPT-4 use cases almost pretty much equally as well for free.

從根本上說，你有一個模型可以免費完成 90-95% 的 GPT-4 用例，幾乎同樣出色。

And it generates way faster.

而且生成速度更快。

Have a look at this.

看看這個。

I'll just click one of these prompts.

我只需點擊其中一個提示。

Boom, it's almost done.

嘣，就快好了。

Isn't that incredible?

是不是很不可思議？

So sure, these have been available, but this is so simple.

當然，這些都已經有了，但這太簡單了。

You just log in with your Google account.

您只需使用谷歌賬戶登錄即可。

You can bookmark this.

您可以將其加入書籤。

And yeah, I just wanted to let you know that the combo of Llama 3 and Grok is fantastic.

是的，我只是想讓你知道，Llama 3 和 Grok 的組合非常棒。

And if you're not paying for GPT-4, Clawed, or Gemini Advanced, this is probably your best bet as of today.

如果你沒有為 GPT-4、Clawed 或雙子座高級版付費，這可能是你目前最好的選擇。

Okay, so next up, I will continue to tell you a little story about this week's sponsor and how their product is really interesting.

好了，接下來，我將繼續給大家講講本週贊助商的小故事，以及他們的產品是如何有趣的。

You should check it out.

你應該去看看。

Not this week.

這周不行

We're keeping this video sponsor-free in order to tell you in about one minute why I haven't been uploading so much to YouTube as I wish I would have and why hopefully that's going to change soon.

我們這段視頻沒有贊助商，目的是在一分鐘左右的時間裡告訴大家，為什麼我沒有像我希望的那樣上傳到 YouTube 這麼多內容，以及為什麼希望這種情況很快就會改變。

And it's essentially because of the AI Advantage community.

這主要是因為人工智能優勢社區。

So hear me out.

聽我說完。

A few months ago, I ran into this wall with YouTube and uploading to YouTube that kind of felt super restraining and it felt super limiting because you just can't do everything on YouTube.

幾個月前，我在YouTube上遇到了一堵牆，上傳至YouTube讓我感覺受到了極大的限制，因為你不可能在YouTube上做所有的事情。

You're goddamn right.

你說得太對了

And don't get me wrong.

別誤會我的意思。

I love YouTube.

我愛 YouTube。

It's been my main content consumption platform all my life, but it doesn't cater well to long-form content.

這是我一生中主要的內容消費平臺，但它並不適合長篇內容。

It doesn't cater well to content that requires some previous knowledge.

它不能很好地滿足需要一些先前知識的內容。

The community interaction is very limited.

社區互動非常有限。

You can leave a comment here.

您可以在這裡留言。

There's a 100% chance that I'll read it.

我有百分之百的機會讀到它。

I might reply, but that's usually where the interaction ends.

我可能會回覆，但互動通常到此為止。

And I wanted more.

我還想要更多。

I love technologies.

我熱愛技術。

I'm really into AI.

我非常喜歡人工智能。

I generally care about these topics and I want to teach people more.

我普遍關心這些話題，我想教給人們更多的東西。

And this is where I felt limited on YouTube.

這就是我在 YouTube 上感到受限的地方。

You just can't do one-hour lectures that build up on previous videos here.

在這裡，你不可能在以前視頻的基礎上進行一小時的講座。

It just doesn't work.

這根本行不通。

It'll get slotted by the algorithm and then it pulls all your other content down with it.

它會被算法歸類，然後把你的所有其他內容也拉下水。

That's just how it works.

事情就是這樣。

And fun side note, this Monday, we held a stream with some of the other biggest YouTube creators around AI.

還有一個有趣的小插曲，本週一，我們與其他一些人工智能領域最大的 YouTube 創作者一起舉辦了一場流媒體活動。

Now that brought this question up because this has been a serious frustration for me.

之所以提出這個問題，是因為這一直是我的一個嚴重困擾。

I asked them, guys, look, if analytics and views weren't a thing, what would you be creating more of?

我問他們，夥計們，聽著，如果沒有分析和瀏覽量，你們會創造更多的什麼？

And everybody had their unique example.

每個人都有自己獨特的例子。

Matthew, for example, said he would be creating way more interviews, but they don't perform so well, etc.

例如，馬修說他會製作更多的訪談節目，但這些節目的效果並不好，等等。

You can go listen to the stream.

你可以去收聽流媒體。

It has been a fantastic stream.

這是一條神奇的溪流。

I'm so glad we did this.

我很高興我們這麼做了。

By the way, we plan on doing more on like a bi-weekly basis with rotating guests.

順便說一下，我們計劃每兩週輪流邀請一些客人來做更多的活動。

But for me, the one thing that I would like to do more of is teach people in depth.

但對我來說，我最想做的一件事就是深入地教導人們。

Hold workshops, hire an entire team that holds workshops, creates guides, and maybe go beyond that and play with creative ideas, like hosting challenges where we teach you an AI skill and then a community of people completes it.

舉辦研討會，僱傭整個團隊來舉辦研討會、製作指南，或許還可以在此基礎上發揮創意，比如舉辦挑戰賽，我們教你一項人工智能技能，然後由一個社區的人來完成。