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Practical AI for Clinical Research w/ Jeremy Franz
Manage episode 480283067 series 3663123
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John Reites and Jeremy Franz explore the practical applications of AI, focusing on its use in data analysis and research. Jeremy shares his extensive experience with AI, discussing the evolution from classical NLP to modern large language models (LLMs) like GPT-3. They delve into various use cases, including how AI can assist in synthesizing information, generating insights from data, and transforming complex data into engaging presentations. The discussion emphasizes the importance of understanding AI as a tool that can enhance productivity and decision-making in various fields.
Key Insights
- AI is a tool for processing unstructured information.
- The evolution of AI has shifted from classical NLP to LLMs.
- AI can clarify thoughts and assist in decision-making.
- Summarization is a key feature of AI applications.
- AI can generate insights from complex data sets.
- Using AI effectively requires clear prompts and expectations.
- AI can transform data into engaging presentations.
- AI assists in synthesizing information for better understanding.
- Practical AI applications are meaningful and supportive.
- The future of AI holds even more potential for innovation.
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