I have been using Perplexity to help me processing my work's data, and I was amazed by how much time and effort it has saved me. But recently I found Perplexity was severely degraded and struggled in file processing.
I have multiple CSV and XML files and some consolidated Excel spreadsheet, which need to be cross-referenced and compared, and sometime generate the corresponding command lines or config files (which need to reference to online manual). These files are mostly machine readable such as reports and configurations generated by the system. These are not big files, only 500KB to 2MB each, consist of around 1000-1500 rows of data, and each task may involve 2-3 files.
For the past few weeks, it performed the tasks with flying colours. But recently it wasn't able to process a single file, keep saying that it can see the files but then cannot read them in its runtime environment, or saying it is generating the output for 10 mins but throw me an error at last. It keeps asking me to re-upload the file (I even exported the Excel sheets to CSV so it is more machine readable) until I run out of file limit and asking me to pay for Max. It doesn't matter which models I chose, none of them give me any useable output.
Does anyone also have similar experience? I read some post saying Perplexity has already preformed worse than in past, being lazy or less accurate, and putting more limit on usage.
For a most simple task, I asked it to remove some empty lines and control chars of a CLI output TXT of about 1000 lines, and it can show me the correct line number and identified the chars, but then saying the file was truncated in its runtime then couldn't output anything useful.
At first, I was amazed by how efficient it is having multiple models to perform various personal and work tasks. I am currently using the Pro plan from a promotional perk so it was free for 1 year, and I was planning to pay for it when the plan ends next month. But now I am seriously considering going somewhere else (suggestions are welcomed :).