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Prompt Engineering 101 and leveraging LLMs
Prompt Engineering 101 and leveraging LLMs
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Video Transcription
Video Summary
Daniel Schlesinger, a Mohs surgery and cosmetic surgery fellow at Northwestern University, discusses prompt engineering and large language models (LLMs) like GPT and Gemini, highlighting the importance of optimizing questions for desired outcomes. LLMs have evolved significantly since 2017 with self-attention capabilities improving answer quality. Different models, like ChaCha GPT and Gemini, offer varied outputs based on prompt complexity. LLMs can generate text, images, code, and more, aiding tasks like content creation, data analysis, and contract drafting. However, users must be cautious of model limitations, potential hallucinations, and privacy concerns regarding sensitive data inputs.
Keywords
large language models
GPT
Gemini
self-attention capabilities
text generation
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