801: merged llms are smaller and more capable — with arcee ai's mark mcquade and charles goddard
Published 1 month ago • 1K plays • Length 1:15:33Download video MP4
Download video MP3
Similar videos
-
5:35
model merge: a new frontier for llm efficiency
-
0:50
the coming commoditization of ai
-
1:00
the easy way to learn llms
-
4:53
move over llms: small language models are the future
-
7:00
mergekit: the open-source model-merging platform for llms
-
11:37
mixture-of-experts vs. mixture-of-agents
-
0:44
#shorts do you need to know how ml works?
-
0:57
data are gold, so why share your llm?
-
0:59
#shorts why you should consider using automl
-
0:55
#shorts the three kinds of data scientists
-
4:47
how to train an llm from scratch for only
-
1:00
how to accelerate your organization's productivity
-
1:00
#shorts the biggest mistakes luke made in his data science career
-
0:59
how projects like scipy succeed
-
0:58
#shorts what is differential privacy?
-
0:58
one-hot encoding 101
-
3:41
large-scale causal experimentation: what are the requirements to do it?
-
3:10
sds 582: model speed vs model accuracy — with jon krohn
-
1:48
the best tools and skills to master before going to a data science interview