何時在AI聊天機器人中使用深層思考模式

最近，深入思考或推理已成為AI Chatbot世界中的熱門話題，現在大多數機器人都提供了在響應之前“思考”的能力。

In the ever-evolving realm of artificial intelligence, deep thinking or reasoning has become a hot topic lately, with most bots now offering the ability to “think” before responding. However, this begs the question: When should you actually use this feature? To put it simply, the AI can certainly engage in deep contemplation before rendering any answer, but that doesn't necessarily mean it should.

在不斷發展的人工智能領域中，深刻的思考或推理已成為一個熱門話題，現在大多數機器人都提供了在響應之前“思考”的能力。但是，這就提出了一個問題：您何時應該使用此功能？簡而言之，AI在提供任何答案之前當然可以進行深入的沉思，但這並不一定意味著它應該。

To help you decide when to engage the deep think mode and when the regular mode will suffice, let's break down the instances where using this setting is beneficial and when it's best left untouched.

為了幫助您決定何時參與深度思考模式，何時常規模式就足夠了，讓我們分解使用此設置的實例是有益的，何時最好將其保持不變。

What is AI Reasoning Mode?

什麼是AI推理模式？

In essence, AI reasoning mode allows AI chatbots to tackle a prompt through a structured, step-by-step process rather than directly providing the most statistically likely answer. Instead, the model simulates a human's thought process, breaking the question into a series of intermediate reasoning steps that help guide the final response and dramatically reduce the risk of errors or AI hallucinations.

本質上，AI推理模式允許AI聊天機器人通過結構化的逐步過程來解決提示，而不是直接提供最統計的可能答案。取而代之的是，該模型模擬了人類的思維過程，將問題分為一系列中間推理步驟，這些步驟有助於指導最終響應並大大減少錯誤或AI幻覺的風險。

At its core, reasoning mode uses chain-of-thought prompting, instructing the AI to “think aloud” by spelling out every intermediate calculation, fact-check, or logical inference. This walkthrough process ensures each piece of information is validated before the chatbot delivers its conclusion.

推理模式以此為核心，使用了經過思考的提示，指示AI通過拼寫每個中間計算，事實檢查或邏輯推斷來“大聲思考”。此演練過程可確保在聊天機器人得出結論之前對每條信息進行驗證。

To give you an example, I asked Deepseek, with DeepThink enabled, a simple subtraction question “If John has 5 apples and gives 2 to Mary, how many does he have left?“. In the screenshot below, you can see the detailed thinking process it used to ensure the answer is correct to such a simple question.

舉一個例子，我問了DeepSeek，並啟用了DeepSeek，這是一個簡單的減法問題：“如果John有5個蘋果並給Mary 2給了2個，他還剩下了多少？”。在下面的屏幕截圖中，您可以看到用於確保答案正確的詳細思考過程，以解決這個簡單的問題。

When Not to Use the Reasoning Mode

當不使用推理模式時

Before discussing when to use reasoning mode, it’s important to understand that for many routine questions, the simpler mode is sufficient. For most day-to-day questions, the differential in answers doesn’t warrant using the advanced setting. In fact, it slows down the process, uses unnecessary server/token resources, and may provide bloated answers to simple questions.

在討論何時使用推理模式之前，重要的是要了解，對於許多常規問題，更簡單的模式就足夠了。對於大多數日常問題，答案中的差異不保證使用高級設置。實際上，它會減慢過程，使用不必要的服務器/令牌資源，並可能為簡單問題提供腫的答案。

There’s no need to enable reasoning mode for common questions like simple definitions, factual information, basic conversions, and yes/no queries. For such straightforward requests, using reasoning mode would be unreasonable, as they don’t require any complex reasoning at all.

無需為常見問題啟用推理模式，例如簡單的定義，事實信息，基本轉換和是/否查詢。對於這種直接的請求，使用推理模式將是不合理的，因為它們根本不需要任何復雜的推理。

Always enabling reasoning mode will lead to long delays for simple answers and eat up your plan’s limits (if any). Not to mention, it also puts extra pressure on the AI chatbot’s servers for no real benefit. For example, DeepSeek often gives a “server busy” error under load if you have DeepThink (R1) enabled but works fine when you disable it.

始終啟用推理模式將導致長時間的延遲以獲取簡單的答案，併吞噬計劃的限制（如果有）。更不用說，這也給AI Chatbot的服務器施加了額外的壓力，沒有真正的好處。例如，如果您啟用了DeepThink（R1），則DeepSeek在加載下通常會出現“服務器繁忙”錯誤，但在禁用它時工作正常。

Related: Other than deep thinking, it is also important to give it a clear prompt so it understands what you really want to ask. Here are some expert tips to craft the perfect AI prompts.

相關：除了深思熟慮以外，給它一個明確的提示也很重要，以便了解您真正想問的內容。這裡有一些專家提示，可以製作完美的AI提示。

When to Use the Reasoning Mode

何時使用推理模式

The differential in answers really matters when the queries have no obvious/factual answer, usually because of multiple variables at play. The reasoning mode can break down such queries and provide a compelling answer. Furthermore, most complex questions with multiple details also benefit from step-by-step reasoning.

當查詢沒有明顯/事實的答案時，答案的差異確實很重要，通常是由於多個變量在玩。推理模式可以分解此類查詢並提供引人注目的答案。此外，大多數帶有多個細節的複雜問題也從分步推理中受益。

To help you understand better, below I am listing some common queries that benefit from setting the setting to on:

為了幫助您更好地理解，下面我列出了一些從設置設置為ON中受益的常見查詢：

Apart from handling complex prompts better, the reasoning process also helps the user understand and validate how the AI arrived at the answer. Most AI chatbots show the reasoning steps they took (might need to manually reveal them), and the user can review the steps to learn the AI’s thinking process ensuring the AI didn’t make a mistake.

除了更好地處理複合物提示外，推理過程還可以幫助用戶理解和驗證AI如何得出答案。大多數AI聊天機器人都顯示了他們採取的推理步驟（可能需要手動顯示它們），並且用戶可以查看學習AI思維過程的步驟，以確保AI不會犯錯。

In conclusion, choosing the right mode for your AI queries will ensure you get the right answer without wasting time or resources. You can also copy/paste the same query in separate chats to see which mode provides the best answer. While you are at it, make sure you take advantage of these hacks to produce better results.

總之，為您的AI查詢選擇正確的模式將確保您在不浪費時間或資源的情況下獲得正確的答案。您還可以在單​​獨的聊天中復制/粘貼相同的查詢，以查看哪種模式提供了最佳答案。當您使用時，請確保您利用這些駭客來產生更好的結果。