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Re:Team of 5 post-trains GLM 5.3 Flash to Fable 5 class for ... by test_user369 on Saturday October 17, 2026 @12:59AM (#50128094)
I'm curious to try it out, how many specialized models will it take to run a company.

Going to try it out for some bookkeeping, e.g. point it to a folder and tell it to book the invoices and point it to a csv file holding a year of private transactions and see them being processed, categorized and then ask about certain trends.

Re:Team of 5 post-trains GLM 5.3 Flash to Fable 5 class for ... by dotancohen on Saturday October 17, 2026 @01:08AM (#50128136)
That sounds more like a task for a python script than an LLM.
Re:Team of 5 post-trains GLM 5.3 Flash to Fable 5 class for ... by TuxedoBuddy on Saturday October 17, 2026 @01:27AM (#50128213)
Just to be clear, are you saying that he should generate via an LLM, or hand-write, a python script, then run analysis on the data?
Re:Team of 5 post-trains GLM 5.3 Flash to Fable 5 class for ... by dotancohen on Saturday October 17, 2026 @02:56AM (#50128626)
Today I'd have the LLM write the script. Why not?
Re:Team of 5 post-trains GLM 5.3 Flash to Fable 5 class for ... by waingake on Saturday October 17, 2026 @01:28AM (#50128218)
Um sure, point being llm writes said script
Re:Team of 5 post-trains GLM 5.3 Flash to Fable 5 class for ... by MisterMunchkin on Saturday October 17, 2026 @02:02AM (#50128396)
You assume, but I’ve known normies to just ask copilot to hallucinate figures instead of writing scripts.
Re:Team of 5 post-trains GLM 5.3 Flash to Fable 5 class for ... by figassis on Saturday October 17, 2026 @03:06AM (#50128678)
That is what should be expected. your harness should translate write me the figured, to create a script to analise this and produce real results, and then verify them again agains source data before presenting. Not sure why you're asking normies to write python scripts.
Re:Team of 5 post-trains GLM 5.3 Flash to Fable 5 class for ... by test_user369 on Saturday October 17, 2026 @05:49PM (#50135471)
Yes, the LLM will have to write a script to process them, just wonder how it differs from other LLMs to categorize and create useful insights. I tried this with Opus and Actual, and Opus didn't label a lot of transactions where the payee's name includes gasstation, food and other obvious purchases.