has #data always been important? yes. but #datacentricai focuses on data development over algorithms
Published 5 months ago • 8 plays • Length 0:25Download video MP4
Download video MP3
Similar videos
-
19:35
what is data-centric ai in practice?
-
6:42
how to rapidly improve your ai models: intro to snorkel flow
-
18:53
how to operationalize knowledge for data-centric ai
-
3:59
founding engineer shares snorkel ai's data-centric approach
-
48:02
data-centric development is key to production-level ai
-
5:30
harnessing the power of data-centric ai development
-
52:26
how to accelerate ai training with programmatic data labeling: snorkel flow demo
-
51:20
revolutionizing data analysis: combining llm, rag, and domain knowledge
-
29:30
how to leverage your data to unlock ai's true potential
-
36:47
solving the last mile problem of foundation models with data-centric ai //alex ratner // llm in prod
-
26:56
what data-centric ai can learn from data & ml engineering
-
25:49
how to select data for data-centric ai
-
0:50
automating task-specific model application with snorkel flow
-
35:33
snorkel ai | jumpstarting data centric ai
-
21:26
how data-centric design supports resilient ai
-
27:13
why ai needs new data benchmarks and quality metrics
-
27:31
can data-centric ai help us develop better drugs?
-
0:16
why #enterpriseai alignment is more important to focus on than #superalignment right now. #shorts
-
30:06
deep dive on data-centric ai with snorkel ai ceo alex ratner
-
23:22
the art of data development for llms
-
26:43
why fixing your data can fix your model in ml
-
22:18
entering the data-centric era of foundation models with alex ratner, co-founder & ceo of snorkel ai