在本地運作的 LLM ，可以解除一些字詞的限制，將解放 AI 的生產力

我在 ChatGPT 輸入了以下 Prompts ，讓它提供 Anki 閃卡的資料。

I want to set a rule of the following conversation.
1. show a example sentence with the word what I requested
2. Sentence meaning in Traditional Chinese.
3. the parts of  speech for the word and itsmeanings in Traditional Chinese

然後，我遇到了。

 

這樣的事件讓我思考著，或許在本地運作 LLM 的一些優點，Unleash AI productivity.

There are compelling reasons to run Large Language Models (LLMs) locally rather than in a data center. LLMs that are operated in data centers must often adhere to Diversity, Equity, and Inclusion (DEI) regulations, which can lead to certain words or phrases being restricted, even if they are commonly used in some contexts. These limitations may be implemented as a cost-saving measure, but they can hinder the model's ability to process and understand natural language effectively.

On the other hand, running an LLM model on a local PC allows for greater flexibility and unleashes the full potential of the technology. By avoiding the constraints imposed by DEI regulations in data centers, locally run LLMs can process and generate text more accurately, without arbitrary limitations on vocabulary or expression. This enables the model to better understand and respond to the nuances and complexities of human language, ultimately providing a more powerful and authentic language processing experience.