And the prompt is simple, it's write a six-line poem about squirrels playing koalas at soccer that meets the following constraints.

提示也很簡單，就是寫一首關於松鼠踢考拉足球的六行詩，並滿足以下限制條件。

In line two, the last word should end with I.

在第二行中，最後一個詞應以 I 結尾。

In line three, the second word begins with U.

在第三行中，第二個單詞以 U 開頭。

In line five, the second to last word is eucalyptus.

在第五行，倒數第二個詞是桉樹。

And in the final line, each word has two syllables.

在最後一行中，每個詞都有兩個音節。

So first we'll try with GPT-4L.

是以，我們首先嚐試使用 GPT-4L。

And we'll see that the answer from GPT-4L meets some of the constraints, but not all of them.

我們會發現，GPT-4L 的答案符合部分限制條件，但不符合全部限制條件。

The reason it's hard for GPT-4L is it has to get it correct on the first try.

對 GPT-4L 來說，這很難，因為它必須在第一次嘗試時就正確無誤。

It can't check that it meets the constraints and then revise the poem.

它無法檢查是否符合約束條件，然後再修改詩歌。

Now let's try the same poem with O1 preview.

現在，讓我們用 O1 預覽版試試同樣的詩句。

And we'll see that differing from GPT-4L, O1 preview starts thinking before giving the final answer.

我們會發現，與 GPT-4L 不同的是，O1 預覽在給出最終答案之前會開始思考。

And you can view a summary of the thinking process of the model.

您還可以查看該模型的思維過程摘要。

So first you can see it's starting to think about different words for rhyming.

首先，你可以看到它開始思考不同的押韻詞。

Then you can see it wants to make sure the last word matches I.

然後，您可以看到它希望確保最後一個詞與 I 匹配。

It thinks about words like alibi.

它在思考不在場證明之類的詞。

It's analyzing word endings, and it's thinking about words like ski.

它分析詞尾，思考滑雪這樣的詞。

Then it's piecing together phrases, but it thinks they don't quite fit.

然後，它開始拼湊短語，但又覺得不太合適。

It's thinking about phrases where the second word starts with U.

這是在思考第二個單詞以 U 開頭的短語。

Then it's tweaking the words to fit the two-syllable rule for line six.

然後是調整詞語，以符合第六行的雙音節規則。

It's digging into various two-syllable word combinations.

這是挖掘各種雙音節詞的組合。

Then it's checking whether the poem aligns with all the guidelines.

然後是檢查詩歌是否符合所有準則。

It's working through the poem to analyze the soccer aspect.

這是通過詩歌來分析足球方面的內容。

And now let's look at the final poem.

現在讓我們看看最後一首詩。

So in the second line, the word safari does end with I.

是以，在第二行中，"safari "一詞確實以 "I "結尾。

In the third line, the second word unleash does begin with U.

在第三行中，第二個詞 unleash 確實是以 U 開頭的。

In the second to last line, eucalyptus, the second to last word is eucalyptus.

倒數第二行，桉樹，倒數第二個詞是桉樹。

And finally, in the final line, under moonlight creature scatter, indeed, each word has two syllables.

最後，在最後一行 "月光下的生物散落 "中，每個詞確實都有兩個音節。

So this is an example of a prompt where, because the model can generate candidates and do reasoning before giving the final answer, it's able to give a higher quality response.

是以，這是一個提示的例子，由於模型可以生成候選答案，並在給出最終答案前進行推理，是以能夠給出更高質量的答案。