Preeti
Crafting AI personas involves using Large Language Models (LLMs) as the underlying tool to create chatbots with different behaviors and personalities. LLMs function as powerful autocomplete tools by predicting the next word based on a block of text input. By providing specific prompts, such as a detailed persona description, the behavior of the LLM can be influenced.
For example, giving GPT-4 a detailed prompt about a character named Morgan with specific traits and interests resulted in the chatbot responding in character to questions. However, when asked about racial preferences, the chatbot responded out of character, emphasizing respect and privacy in conversations.
The article also explores how subtle changes to the prompt can impact the behavior of the chatbot. By including specific instructions or details in the prompt, the chatbot’s responses can be manipulated. For example, by including only the race in the prompt, the chatbot’s response was influenced solely by that factor.
Overall, the article highlights the potential for AI personas to be crafted using LLMs and the importance of understanding how prompts can influence the behavior of these chatbots. By exploring different scenarios and prompts, it becomes evident how small changes can lead to significant variations in the chatbot’s responses.
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Source link: https://towardsdatascience.com/racial-bias-large-language-models-b53019c5be9f
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