Author: Imani Gray

I used RAG to make a medical diagnosis bot that uses med school textbooks to answer questions. These are the 4 steps I took.

I used Google Gemini and Dabarqus, our no-code RAG app to take a video of my fridge and my diet from MyFitnessPal to find recipes that fill holes in my diet with foods I already have. This is how it went.

I compared 3 LLMs on image recognition: GPT-4o, Gemini, and Claude 3.5 Sonnet. I gave each model a picture of my bookshelf and asked them to identify the books. Here’s the results:

I used Google Gemini, Langchain and Llama 3 to turn a medical report into an action plan for a patient. I couldn’t believe how good of a job they did, and it only took me one hour. This is how I did it.

I took a video of my bookshelf and got AI to create a list of custom book recommendations for me. This is how I did it.

The major challenge in AI right now is how to give an AI concrete, real-world information. What makes it hard? And what is the solution?

To get real work done with AI, you have to get something made custom for your problem. Let’s look at 2 ways to train an AI assistant.