deepspeed. high-level parallelism and memory optimization library
Published 1 year ago • 329 plays • Length 25:58Download video MP4
Download video MP3
Similar videos
-
39:42
deepspeed: all the tricks to scale to gigantic models
-
23:05
multi gpu fine tuning of llm using deepspeed and accelerate
-
9:36
sosp 2021: cuckoo trie: exploiting memory-level parallelism for efficient dram indexing
-
1:06:53
[refai seminar 03/30/23] efficient trillion parameter scale training and inference with deepspeed
-
1:07:40
multi gpu fine tuning with ddp and fsdp
-
15:38
distributed deep leaning deepspeed
-
1:10:50
efficiency and parallelism: the challenges of future computing by william dally
-
13:31
this algorithm is 1,606,240% faster
-
32:31
how fully sharded data parallel (fsdp) works?
-
38:56
yutian chen | "towards learning universal hyperparameter optimizers with transformers"
-
1:03:42
full fine tuning with fewer gpus - galore, optimizer tricks, adafactor
-
55:56
warpdrive: orders of magnitude faster multi-agent deep rl on a gpu
-
29:42
an introduction to distributed hybrid hyperparameter optimization- jun liu | scipy 2022
-
27:33
better and faster hyper parameter optimization with dask | scipy 2019 | scott sievert
-
12:09
memory-efficient high-speed algorithm for multi-t pdev analysis
-
0:47
optimizing compute performance - intro to parallel programming
-
48:10
carola doerr: "hyperparameter optim. & algorithm configuration from a black-box optim. perspective"
-
40:59
descending through a crowded valley -- benchmarking deep learning optimizers (paper explained)
-
31:44
mlops20: explore/exploit - hyper-parameter tuning in deep learning