Superwise
1.93K subscribers
1:26:47
Beyond fine tuning: Approaches in LLM optimization
Superwise
479 views • 3 months ago
1:07:19
Unraveling prompt engineering
Superwise
1.7K views • 7 months ago
55:19
Emerging architectures for LLM applications
Superwise
48K views • 9 months ago
59:39
To train or not to train your LLM
Superwise
2K views • 10 months ago
35:17
Improving search relevance with ML monitoring
Superwise
420 views • 1 year ago
1:49:10
A guide to putting together a continuous ML stack
Superwise
464 views • 1 year ago
37:31
A guide to multi tenancy architectures in ML
Superwise
207 views • 1 year ago
37:33
Model observability is all you need
Superwise
91 views • 1 year ago
1:49:04
A guide to putting together a continuous ML stack
Superwise
67 views • 1 year ago
1:15:51
Continuous MLOps pipelines: A dive into continuous training automation
Superwise
327 views • 1 year ago
1:49
Superwise Model Observability
Superwise
486 views • 1 year ago
5:48
superwise x MachineLearning RoundUp - WEBINAR HIGHLIGHTS
Superwise
114 views • 3 years ago
6:04
How monday.com uses superwise to monitor their marketing ML models
Superwise
219 views • 3 years ago
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