ml compilers: bringing ml to the edge - chip huyen, instructor at stanford university
Published 2 years ago • 1K plays • Length 26:42Download video MP4
Download video MP3
Similar videos
-
58:07
ml for ml compilers - mangpo phothilimthana | stanford mlsys #80
-
1:06:44
stanford mlsys seminar episode 5: chip huyen
-
48:27
chip huyen: machine learning tools and systems | the gradient podcast
-
44:24
chip huyen on machine learning interviews (full stack deep learning - november 2019)
-
28:59
apply() conference 2021 | machine learning is going real-time
-
20:27
stanford cs224w: machine learning with graphs | 2021 | lecture 1.2 - applications of graph ml
-
1:44:31
stanford cs229 i machine learning i building large language models (llms)
-
58:24
real-time machine learning with chip huyen // mlops coffee sessions #133
-
35:01
llms | mixture of experts(moe) - i | lec 10.1
-
25:25
mlops salon: applying mlops at scale - introduction to ml compilers
-
53:49
gradient ascent for your career | breakout session
-
7:20
want to teach at stanford? here's how
-
51:58
ai/ml, new algorithms and machines, connected devices
-
59:39
reshaping ml with compilers feat. jason knight | stanford mlsys seminar episode 22
-
37:28
tensorflow for deep learning research - lecture 1
-
19:56
osdi '20 - a tensor compiler approach for one-size-fits-all ml prediction serving
-
1:28
what you get from using a machine learning compiler
-
0:58
llvm vs mlir compilers: what's the difference? #mojo #python #ai #ml #lattner #clang #rust #swift
-
29:20
stanford cs224w: ml with graphs | 2021 | lecture 5.2 - relational and iterative classification
-
1:07:29
stanford seminar - extending the theory of ml for human-centric applications
-
8:03
connect: embedded machine learning for iot with edge impulse