Experts InSight AI in Ophthalmology: LLMs and ChatGPT
May 2, 2024
Dr. Peter Campbell and Dr. Travis Redd, esteemed ophthalmologists and AI committee members at the AAO, dive into the revolutionary impact of AI in their field. They discuss how tools like ChatGPT can enhance clinical practice and patient interaction. The conversation covers the challenges of integrating AI responsibly, addressing privacy issues, and the risk of bias in algorithms. They also highlight the need for transparency in academic research with AI contributions. This engaging dialogue paints a future where technology works hand in hand with human judgment in healthcare.
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How LLMs Work
- Large language models (LLMs) like ChatGPT recognize patterns in language similar to how AI recognizes patterns in images.
- They learn relationships between words from huge datasets and can generate realistic, nuanced outputs.
Transformer Architecture Powers LLMs
- The transformer architecture enables LLMs to find relationships between sequences of data, crucial for understanding language.
- Modern LLMs are powerful because of their massive training datasets and billions of parameters.
ChatGPT’s Broad and Nuanced Knowledge
- ChatGPT can answer questions on nearly any topic by learning from vast published knowledge.
- It understands nuance, semantics, and humor, enabling tailored responses in real time.