The AI landscape is evolving rapidly! I'm creating here a small curated set of resources that I've been reading as well as a few things we are creating at the Fred Hutch Data Science Lab. This will likely get updated periodically. A key insight that helped me understand what is happening with AI is:
It is a better computer, not a robot.
- AI Cannon - a collection of AI resources put together by a well-known venture capitol group.
- Attention is all you need - describes "transformer models" which is one of the key innovations that enabled generative models - pretty technical but wildly important.
- Production AI systems are really hard - a great short read on why doing AI in real applications is hard with a focus on biomedicine.
- Andrej Karpathy - AI for Full-Self Driving at Tesla - a great example of this in a real case of Tesla's attempt at full self driving. Who knew detecting stopsigns would be so hard!
- Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine - A paper where they use a few simulated examples and look at how well GPT4 can take passive recordings and turn it into physician notes from Nuance Dax- it works pretty well, but this skips the ethical, legal, edge case and infrastructure issues - post previous bullet.
- Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum - A paper that compares verified physician responses to queries on reddit to GPT3.5 responses and finds the GPT3.5 responses are reasonably good.
- he utility of ChatGPT for cancer treatment information - This study evaluated the performance and robustness of ChatGPT in providing breast, prostate, and lung cancer treatment recommendations that align with National Comprehensive Cancer Network (NCCN) guidelines. They showed that chatGPT made a NCCN aligned recommendation in 98% of cases, but also provided a non-aligned recommendation in at least 34% of cases - the overall summary was that chatGPT did not perform well in robustly providing recommendations.
- Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma - another evaluation of chatGPT: "ChatGPT regurgitated extensive knowledge of cirrhosis and HCC, but for questions with correct responses, only a small proportion was labelled as comprehensive"
- Artificial Intelligence: The Good, the Bad, and the Ugly by Yaser Abu-Mostafa In this lecture, Abu-Mostafa will explain the science of AI in plain language and explore how the scientific details illustrate the risks and benefits of AI. Between the extremes of "AI will kill us all" and "AI will solve all our problems," the science can help us identify what is realistic and what is speculative, and guide us in our planning, legislation, and investment in AI.
- How AIs, like ChatGPT, Learn by CPG Grey How do all the algorithms, like ChatGPT & Bing, around us learn to do their jobs?
- How AI Could Empower Any Business by Andrew Ng Expensive to build and often needing highly skilled engineers to maintain, artificial intelligence systems generally only pay off for large tech companies with vast amounts of data. But what if your local pizza shop could use AI to predict which flavor would sell best each day of the week? Andrew Ng shares a vision for democratizing access to AI, empowering any business to make decisions that will increase their profit and productivity.
- Computer Scientist Explains Machine Learning in 5 Levels of Difficulty by Hilary Mason WIRED has challenged computer scientist and Hidden Door cofounder and CEO Hilary Mason to explain machine learning to 5 different people; a child, teen, a college student, a grad student and an expert.
- But what is a neural network? by 3Blue1Brown A no-background-required introduction to neural networks, the fundamental building block of many recent artificial intelligence systems.
- How AI Could Save (Not Destroy) Education by Sal Khan Sal Khan, the founder and CEO of Khan Academy, thinks artificial intelligence could spark the greatest positive transformation education has ever seen. He shares the opportunities he sees for students and educators to collaborate with AI tools -- including the potential of a personal AI tutor for every student and an AI teaching assistant for every teacher -- and demos some exciting new features for their educational chatbot, Khanmigo.
- Implementing AI in Health - a collection of incredibly relevent AI talks with a focus on biomedicine
- Generative AI Sequence from Google - introduces key concepts in generative AI (technology behind chatGPT)
- Courses on ChatGPT from Andrew Ng
- Deep Learning Affinity Group - Cool writeup on our Fred Hutch Deep Learning Affinity Group lead by Wei Sun, Michael Wu, Youyi Fong, and Evan Newell