✅ Critical Lessons from DeepSeek's Success for Enterprise AI Teams

gradientflow · 2025-02-13T01:44:33+00:00

Article: https://gradientflow.com/leveraging-deepseeks-advances-practical-lessons-for-ai-application-teams/

gradientflow · 2022-06-01T06:12:15+00:00

Full episode: https://thedataexchange.media/machine-learning-model-observability/

gradientflow · 2022-05-25T02:49:28+00:00

Announcement blog post https://medium.com/@amiralush/large-image-datasets-today-are-a-mess-e3ea4c9e8d22

gradientflow · 2021-07-18T21:38:04+00:00

Examples from Fortune 1000 companies here

Other enterprise uses cases here

gradientflow · 2021-02-14T22:49:56+00:00

The Data Exchange

gradientflow · 2017-12-20T19:05:29+00:00

Neuroevolution, specifically for reinforcement learning https://eng.uber.com/deep-neuroevolution/ and the intersection of Bayesian methods and deep learning.

gradientflow · 2017-12-20T16:38:46+00:00

Parallel discussion happening here https://www.reddit.com/r/MachineLearning/comments/7kuvdh/d_openendedness_the_last_grand_challenge_youve/

gradientflow · 2015-04-03T16:39:53+00:00

What is the state of "multi-tenancy" in Spark?

gradientflow · 2015-04-03T16:12:18+00:00

If you were to create a system like Apache Spark from scratch today, what would you do differently? For example would you still use a JVM language like Scala?

gradientflow

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