tennismlandguitar
tennismlandguitar OP t1_j52zysi wrote
Reply to comment by Omnes_mundum_facimus in [D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often? by tennismlandguitar
What about finetuning those models to make sure the performance is satisfactory?
tennismlandguitar OP t1_j51sbtt wrote
Reply to comment by junetwentyfirst2020 in [D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often? by tennismlandguitar
HAHA no worries, sent you a DM about this stuff in general, answer with what you're comfortable with!
tennismlandguitar OP t1_j51rxa3 wrote
Reply to comment by MrAcurite in [D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often? by tennismlandguitar
Thanks! Sent you a DM to follow up with this :)
tennismlandguitar OP t1_j51rtwb wrote
Reply to comment by PredictorX1 in [D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often? by tennismlandguitar
Definitely! An example could be the use of https://github.com/AI4Finance-Foundation/FinRL in quant-firms and fintech.
tennismlandguitar OP t1_j51rizd wrote
Reply to comment by [deleted] in [D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often? by tennismlandguitar
Haha I guess I just haven't seen it in my experience.
I think for research scientists, it becomes far easier to implement improvements to the existing SOTA models if they don't have to try implementing them from scratch.
For MLEs, definitely makes sense that it needs to be in the context of an application. Is that hard enough to drive people away from trying in your experience?
tennismlandguitar OP t1_j51r6gb wrote
Reply to comment by z_fi in [D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often? by tennismlandguitar
Definitely agree with the first point here. Could you expand a bit more on the second? Why is it limited usefulness with transfer learning and fine-tuning today?
tennismlandguitar OP t1_j51r1ao wrote
Reply to comment by TheTwigMaster in [D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often? by tennismlandguitar
Wow, thanks for the response, that was really enlightening-- I never thought about monitoring to support these models.
Have you noticed one of these problems to be the biggest issue in industry?
W/ regards to your last point, that definitely makes sense in case of a simple CNN or deep network, but sometimes there are more complicated RL algorithms or transformers that become a bit difficult and time-intensive to implement. In these cases, I would suspect that it would be easier to use something open-sourced?
tennismlandguitar OP t1_j51q970 wrote
Reply to comment by LcuBeatsWorking in [D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often? by tennismlandguitar
Totally agree! I've found this problem to be a big issue myself, so I assumed that was the main issue. Sent you a DM to talk a bit more about this :)
tennismlandguitar OP t1_j51prk0 wrote
Reply to comment by junetwentyfirst2020 in [D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often? by tennismlandguitar
I suppose it's just the teams I've been on, then!
Do you see mostly research teams use these? Or have you also seen software teams use some ML engineers to integrate these open-source models into their products? (Where licensing is not an issue)
tennismlandguitar OP t1_j6jiktr wrote
Reply to comment by Omnes_mundum_facimus in [D] ML Researchers/Engineers in Industry: Why don't companies use open source models more often? by tennismlandguitar
LOL thanks for adding this.