u/Cool-Monitor2140

Hi everyone, curious if anyone has managed to train a data enrichment models?

I am working on tuning Bert and Roberta law models to look at judgements and extract citations, persons, quotes, organisation ECT so I can build a knowledge document with inter contracting references.

Has anyone had success tuning models like this?

Are there any base models you'd recommend?

I see most on this forum are tuning LLMs - but they're pretty over powering for data extraction/enrichment

My setup I have a I have a NVIDIA GeForce RTX 4060 TI 8GB

Quen takes around 5 seconds a doc, a Bert or Roberta tuned is taking around 50ms a doc extracting entities. But accuracy is still a challenge

My data set is pre extracted fields from legal documents I extracted with scrapy

Hi everyone,

I looked around and saw some very mixed answers so I wanted to ask specifically.

I'm currently running a SaaS business with around 350 users. Around 300 of them are monthly and 50 are annual.

I am wondering what everyone else is doing in terms of customer notification settings.

For example stripe has a reminder setting, but it is a blanket reminder before a payment. I was using it for a little bit... But it's annoying especially if you're monthly to get notified before a payment comes out. - so I have turned it off.

Is anyone here using it ?

And there is an auto invoice to send to customers after a payment. I currently have that on... But is that also annoying for customers on monthlys ? I don't think I personally have any monthly sub that emails me an invoice monthly e.g. I don't notice google or Microsoft emailing me invoices every month.

What is best practice? What does everyone else do?

Note we're in Australia, UK and looking to expand to the USA in a few months. Average monthly payment is $40 average annual is $400 AUD.