Any suggestions for ai tool to use for the following?
Upload CVS file with about 8000 rows and 3 columns.
The objective is for the ai tool to research the manufacturer #model and return an ai generated, formatted description into a column for each manufacturer and model number that is used in our MRP system (we have a bunch of bad and inconsistent descriptions we want to replace.
Many - 80% - of items are easy and will be returned in internet searches. When providing instructions / learning, grok did well, chatgpt probably better, I could type in any part number and get a consistently formatted, accurate description returned one at a time with no problem.
gemini was unstable and gave an error most of the time on anything I put in.
So the problem with grok was it could not return a csv file at all (trying every method possible). It could not process more than 200 rows at a time. Eventually, the chat got too long and stopped responding and trying to continue it was basically a start over. The longer you interfaced with it, the dumber it got.
Chatgpt was promising, but it is processing about 1 item every 3-5 minutes which is slower than me manually looking all these up and typing them in. It also has a short runtime that stops the process before writing even 5 descriptions to the csv. I solved this by having it be a watchdog and constantly save, index and give me a link for the file. Eventually this chat had gotten too long and stopped working before.
The more complicated part of this is that some items have long, configured part #s that I have uploaded the manual / configurator for. It seems to do OK on these one at a time, but ask it to do 5 and it melts down. I have also told it to just use the existing description if it has trouble finding information for an item.
The first 5 minutes is easy and results are phenomenal. After that, both tools have been disasters at trying to find a way to process the 8000 items.
Any suggestions?
Upload CVS file with about 8000 rows and 3 columns.
The objective is for the ai tool to research the manufacturer #model and return an ai generated, formatted description into a column for each manufacturer and model number that is used in our MRP system (we have a bunch of bad and inconsistent descriptions we want to replace.
Many - 80% - of items are easy and will be returned in internet searches. When providing instructions / learning, grok did well, chatgpt probably better, I could type in any part number and get a consistently formatted, accurate description returned one at a time with no problem.
gemini was unstable and gave an error most of the time on anything I put in.
So the problem with grok was it could not return a csv file at all (trying every method possible). It could not process more than 200 rows at a time. Eventually, the chat got too long and stopped responding and trying to continue it was basically a start over. The longer you interfaced with it, the dumber it got.
Chatgpt was promising, but it is processing about 1 item every 3-5 minutes which is slower than me manually looking all these up and typing them in. It also has a short runtime that stops the process before writing even 5 descriptions to the csv. I solved this by having it be a watchdog and constantly save, index and give me a link for the file. Eventually this chat had gotten too long and stopped working before.
The more complicated part of this is that some items have long, configured part #s that I have uploaded the manual / configurator for. It seems to do OK on these one at a time, but ask it to do 5 and it melts down. I have also told it to just use the existing description if it has trouble finding information for an item.
The first 5 minutes is easy and results are phenomenal. After that, both tools have been disasters at trying to find a way to process the 8000 items.
Any suggestions?