Completed
- Fine-tuning a machine learning model
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Classroom Contents
Fine-Tune Multiple Cognitive Tasks with GPT-3 on Medical Texts and Reduce Hallucination
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- 1 - GPT-3 Hallucinating
- 2 - Creating a medical question answering bot
- 3 - Using GPT-3 to predict whether or not medications were prescribed
- 4 - Using NLP to automatically extract information from patient charts
- 5 - Fine-tuning a model to be less creative
- 6 - Fine-tuning a model to do two cognitive tasks at once
- 7 - Building a Single Source of Truth for Home Care
- 8 - Determining whether or not follow-up medical tests were ordered
- 9 - Creating a mock-up for data
- 10 - GPT3 Completion
- 11 - Building a program to process medical transcripts
- 12 - The Dmark
- 13 - Creating a bot to generate medical diagnoses
- 14 - Building a chatbot to answer questions about a job
- 15 - Building a medical chatbot
- 16 - Python generate data
- 17 - Python generate data
- 18 - Saving work in progress
- 19 - Building a machine that can write
- 20 - Formatting the data for training
- 21 - Fine-tuning a machine learning model
- 22 - The difficulty of diagnosing with Curie
- 23 - The ineffectiveness of curie with more training data
