@athleticKoder Depends on the use case. For our fintech automation systems, we have a ground truth dataset that we used for dev pipeline validation which we use for llm drift and monitoring. We use custom metrics like match rate and text similarity over business entities
@frantzfries An IPO means extra scrutiny of the books, processes, IP and other stuff. Also global economy is currently flat or down which leads to lower evaluation. Typically companies go public during strong and positive global markets as stock price is sustainable.
Our implementation of llm pipeline is improving a domain specific documentation processing 9000x in time while maintaining or improving quality of output. Document Generation is going to be the first Human Intelligence Task to be fully automated in this decade.
The ghibli thing is not an overreaction, graphic design is going through a renaissance. Graphic designers will be pushed towards innovation as AI will be able to takeover the run off the mill stuff. #Ghibli
@arsh_goyal The appeal of govt jobs isnt the salary. Its the benefits, corruption. It is also the prestige that comes along with it as post independence govt employees along with zamindars wielded power.
@matsonj In my experience they tend to work in the perfect conditions. With some duct tape and wd40 they become quite useful. They are getting better over time.
@aaditsh LLMs aren't great at automating multi step processes which are typically easy for humans. However we have used them to breakdown a complex process into smaller chunks and automate most of the pipeline gaining 120X speedup over humans. They are great zero shot learning machines.
@thekitze Title is misleading, you can install required libraries for your application using a human readable file like txt. Easier for folks who don't want to write markup.
@drmillybarker A shared google sheet with row wise detailed assets and liabilities. Very risky to consolidate such information for thousands of users at one place using an app.