Why use one AI when you can use two? I enjoyed this research lab because it truly echoed the idea that you can use both ChatGPT and Notebook LM effectively for different aspects of any work or project. Both AI tools have their strengths and weaknesses and also vary in the approach they use to answer questions and find sources.
For today’s lab, the prompt I used was: “What are the applications of AI for facial recognition systems in healthcare?” I asked ChatGPT to summarize an answer to this question and then give me credible sources (such as research papers). ChatGPT gave me five research papers, all of which were credible. The research papers were however, varied in terms of the subtopic(whilst some focused on facial analysis in healthcare, others focused on deep learning-based facial image analysis). ChatGPT also gave me a good summary which it subcategorized to include various sides of AI’s use for facial recognition in healthcare (e.g: disease diagnosis, patient recognition etc).
I took two of the five sources from ChatGPT and inputted those into Notebook LM and asked it to summarize what they said. Notebook LM did a good job of breaking down both sources into clinical applications, technical and ethical challenges, amongst other subtopics.
This lab taught me that ChatGPT tends to give more generalized information, and is very confident regardless of whether its right or wrong. Notebook LM on the other hand is very technical, has a high level of accuracy and is usually very specific. Interestingly, ChatGPT did a good job of giving credible sources and that was surprising to me.
Overall, I recommend both depending on what your goals are and I think there are definitely ways to play to the strengths of both and I would love to learn more.
Sources: https://pubmed.ncbi.nlm.nih.gov/40041850/ https://pubmed.ncbi.nlm.nih.gov/35877324/ https://www.linkedin.com/pulse/duel-vibing-when-one-ai-isnt-enough-my-journey-app-zero-paul-cleghorn-auxxf
