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LLMs Usage FAQ: Difference between revisions
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{{LanguageSwitcher | content = [[LLMs Usage FAQ | EN]], [[LLMs Usage FAQ in Mandarin | 漢字]] }} | {{LanguageSwitcher | content = [[LLMs Usage FAQ | EN]], [[LLMs Usage FAQ in Mandarin | 漢字]] }} | ||
== Force Traditional Chinese Output == | |||
* Add #zh-TW before your question <ref>[https://learntech.tw/chatgpt-traditional-chinese/ ChatGPT: How to Force Traditional Chinese Output | Learn Technology, Save Time - Learn Technology]</ref> | * Add #zh-TW before your question <ref>[https://learntech.tw/chatgpt-traditional-chinese/ ChatGPT: How to Force Traditional Chinese Output | Learn Technology, Save Time - Learn Technology]</ref> | ||
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</pre> | </pre> | ||
=== How to Solve AI Forgetting Training Content | == Generating Longer Article Content == | ||
Problem: | |||
I want to use LLMs to generate articles of 5000-6000 words, but each attempt only produces articles of 1000-1500 words. | |||
Reason: | |||
LLM models have context window length limitations, with a fixed limit on the total number of tokens for input and output combined in each request. Therefore, each generation result encounters an upper limit of 1000-1500 words. The recommended workaround is to break down the intended article structure and generate content chapter by chapter. | |||
Solution: | |||
If it's not possible to generate a 5000-6000 word article in one go, you can pre-plan a five-chapter structure in your input instructions, then generate content sequentially according to the chapter order, ultimately achieving the goal of producing a 5000-6000 word article. | |||
== How to Solve AI Forgetting Training Content == | |||
📝 Inquiry: | 📝 Inquiry: | ||
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</pre> | </pre> | ||
== References == | |||
<references /> | <references /> | ||
[[Category: Tools]] | [[Category: Tools]] | ||
[[Category: Generative AI]] | [[Category: Generative AI]] | ||