Hi everyone my is Antonio, I'm from New York City I'm happy to be in this community. I hope that I could learn as possible to start my own agency, in this moment I'm still in the beginning stages of learning more about ChatGPT, also I'm learning more about Midjoury also Prompt Engineering. So I do wish everyone great success in their venture, all the best.

Hi Everyone, I have been having some really interesting conversations with some potential clients and have come across a use case which could be productised across a lot of industries. The requirements: Create a tool that can review an application document to output a likelihood of an application being successful, as well as reasoning, and highlight areas for improvement. There should be a mechanism for the model to iterate on itself with each further application to ensure it is improving over time. The artefacts: - Defined criteria for success - 100 examples of a mix of successful/unsuccessful applications Has anyone had any experience implementing a solution like this and would be willing to collaborate on a PoC? My initial research has led me to look into embeddings, vectors and pytorch/tensorflow but I do not have the experience for this one. Thanks!