Browse Comments — Raw (as collected)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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How much it costs? In-house solution is for poor))) tell me how much it costs?
Sure it will be added advantage if we learn how to use it
Should be illegal to give it all this value for free😅
Thanks mahn🤍🫡
Thats 200B model on Q4 Quantisation not FP16
Great resources
Azeem Ullah
👏👏
This is an interesting shift in thinking, especially moving from single large models to coordinated ensembles. If the efficiency gains are real, it could meaningfully change how people approach compute heavy AI systems. The emphasis on voice nuance and context is a real gap in current systems, so that focus makes sense.
I need one of this OMG
I simplified checking open port on linux: please watch and share : https://lnkd.in/egiN4uSK
Github repos are now the hidden gold mines. Alot of resources lie in there, which people don't know
I'm not sure about how practical this mini PC would be to train any AI models, especially in terms of cooling during time-consuming AI model training processes. It might only survive as a thin client.
Cuda is the problem
I completed my master's degree in Mass communication and journalism, not yet get job, please let reference me
Thank you for sharing ✨️
Thank you for sharing
Daniel Uhlemann my mac m1 ultra has similar specs. Might not be as fast but i had it for 5 years b
Woww
This is amazing
Fascinating. I'm looking forward to testing it!
Right things to say is it has probably enough ssd or memory to fit the model. That’s all. Nothing else about perf, tco can be claimed.