Prompt Engineering is the practice of carefully crafting instructions, or "prompts," to guide AI language models toward producing desired outputs. By adjusting the wording, structure, and context provided in a prompt, users can significantly influence the quality, style, and accuracy of the model's responses. This skill has become essential for effectively using large language models across tasks ranging from creative writing to technical problem-solving to data analysis.
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Prompt Injection | Large Language Model (LLM) | Few-Shot Learning

Stanford's TherapyTrainer deploys AI to help therapists practice skills for written exposure therapy.
Stanford's TherapyTrainer deploys AI to help therapists practice skills for written exposure therapy.


Stanford experts examine the safety and accuracy of GPT-4 in serving curbside consultation needs of doctors.
Stanford experts examine the safety and accuracy of GPT-4 in serving curbside consultation needs of doctors.


This brief explores student misuse of AI-powered “nudify” apps to create child sexual abuse material and highlights gaps in school response and policy.
This brief explores student misuse of AI-powered “nudify” apps to create child sexual abuse material and highlights gaps in school response and policy.


This brief reviews the current landscape of LLMs developed for psychotherapy and proposes a framework for evaluating the readiness of these AI tools for clinical deployment.
This brief reviews the current landscape of LLMs developed for psychotherapy and proposes a framework for evaluating the readiness of these AI tools for clinical deployment.


Courts will have to grapple with this new challenge, although scholars believe much of generative AI will be protected by the First Amendment.
Courts will have to grapple with this new challenge, although scholars believe much of generative AI will be protected by the First Amendment.
