I was in the early beta and judging from how it's worked in my tests, there's definitely more going on under the hood then the most straightforward approach of "embed all your emails, find nearest neighbors, then ask the LLM to answer".
Kudos on innovating around applying LLMs to real-world problems and going beyond the bog-standard approach. It'd be interesting to see a more detailed blog on the technical approach you took!
Love the app and use it as a thought log all the time! It would be great if I didn't have to select the output type upfront but rather just free-flow dictate. I don't always know if something will turn into a blog post or small tweet at the time I am dictating.
If you could summarize the content into a few words (similar to how ChatGPT names its chat thread), and I could generate a specific output type from that list in the history, that would be a game changer for me!
The Microsoft LoRA is actually the same concept as the one applied here, the original method was applied to LLMs and then brough to diffusion models recently.
Kudos on innovating around applying LLMs to real-world problems and going beyond the bog-standard approach. It'd be interesting to see a more detailed blog on the technical approach you took!