Claude 3.5 just blows my mind sometimes. It's incredibly intelligent naturally. I am going through final tests on a new App I'm building to generate, clean, and enrich datasets. I was testing the enrichment portion last night and it just knows things. Like it understands when cleaning data and I'm asking it to add thousand separators that some of the data may not be a number in the traditional sense. I had a dataset that has population, median_income, and zip codes in it, but it only modified the population and median_income data without the need to specifically prompt for it. This might seem trivial, but its ability to reason without guidance amongst large sets of data is quite remarkable. #datamachine

More data cleanup #sparkbase

complete basic data wrangling clv #ml4all

cleanup of data progress toasts, and just general cleanup and making sure that all cases are handled depending on the type of data we are generating #datamachine

digital clean&catchup (notes, sorting, emails, files, getting back to a sane state)

more database and misc cleanup work on #djangopackages

clean data on #jasp

automate some of the data cleaning #indie

data cleaning #datamachine

improve data cleanup for contract #jasp

code cleanup, bug fixes #backpacklanguage

Finish to cleanup the data #curated

preparing file for fine-tuning #thecompaniesapi

performance cleanup #coinlistr

Data entry & cleaning #jovial

improve data cleanup for localisation #jasp

bugfixes and cleanups #keylogs

doing some digital cleaning up

continued work on the detail screen #blinkloader

more #djangopackages doc cleanup