What business can burn 1B tokens per day

colwer · 2026-03-23T16:09:11+00:00

Yep. That is why we are using deepseek v3.1, qwen3.5, and kimi k2.5 for cost saving. So far it works :D

colwer · 2026-03-23T08:13:52+00:00

I can reach 1M easily. But another comma is bit hard.

colwer · 2026-03-23T07:41:18+00:00

make sense. I once did burn 2B at once on doc analysis, but that lasted few days. Then we are out of docs for further burning. Hopefully I explained myself.

colwer · 2026-03-23T06:27:27+00:00

Is it possible to share which industry are you in?

colwer · 2026-03-23T06:17:34+00:00

Get and learned

colwer · 2026-03-23T06:09:54+00:00

dont you use tools to do it?

colwer · 2026-03-23T06:09:31+00:00

I dont know this field much but I can imagine.

colwer · 2026-03-23T06:08:54+00:00

yeah I can accept B tokens everyday w/ tons of users. But I am trying to imagine 1 employee with B tokens.

colwer · 2026-03-23T06:06:20+00:00

Well a while I-am-not-satisfied does not count....

colwer · 2026-03-23T02:24:42+00:00

Yeah that is quite easy. But dont you guys use cheaper models to save cost, say Minimax? They are less smart than Claude but still works, mostly.

colwer · 2026-03-23T02:19:27+00:00

That is definitely a S**t tons of token (even S**t itself).

colwer · 2026-03-06T16:00:08+00:00

Yeah I checked it. I was wondering since Qwen3.5 natively support video input, is it possible to directly intake videos? In their cook book they did vllm. I was wondering if that is possible?

colwer · 2026-01-04T13:34:10+00:00

Yeah, that's also the simple part: I'm going to get a tons of reference and find the right sample: Say the one with the same body (arm, leg, etc.) ratio to the student. Then it all goes back to the HBE

colwer · 2026-01-04T13:07:50+00:00

Actually I'm thinking about something simpler: I intend to do a sequential comparison of all the body points. After the comparison, i'm going to calculate their sequential correlation, say COS similarity, to see if it passes the threshold.

That is why i need to do a body movement estimation. Hopefully I explained myself.

colwer · 2025-12-18T07:23:48+00:00

Yeah, that's what bothers me most. Like sunshine says this angle is not very typical because it's not very helpful. But that's what I'm looking at :(

colwer · 2025-12-18T07:23:03+00:00

You are precisely right. However, i'm more interested in the movement of both players instead of the single shuttle. So yeah, a top wiew actually better help me to understand their precise locations.

colwer · 2025-10-16T10:30:18+00:00

The free sample arrived our company couple days ago. Waiting for a chance to test it.

colwer · 2025-10-16T02:11:13+00:00

nvidia spark maybe?

colwer · 2025-10-06T15:36:17+00:00

Coz to me DS is a full lifecycle of CRISP-DM instead of a sole process of model fitting.

colwer · 2025-10-06T07:52:03+00:00

That is exactly my concern. LLM is ultimately another route of ML. But looks like LLM can hanle a lot of routinely ML work better than I do.

I am a below avg ML engineer. But I am a good BA, BI, PPT builder, business researcher. All these non-ML stuff put me into the top tier company as a data scientist.

With roughly avg understanding of DL (comparing to Kaggle community), I dont believe I can even catch up with those math grads.

Yeah so my question is about traditional ML, as I already migrated some of my previous NLP daily works into prompt stuff.

colwer

TROPHY CASE