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1 .2021-12-09 Leetcode Weekly Contest Towhee: State-of-the-art Computer Vision in 5 Lines of Code
2 . 01 Challenges in Modern ML CONTENTS 02 Solving ML Gaps 03 Say Hello to Towhee 04 Call for Contributors
3 .01 Challenges in Modern ML
4 .Constantly reinventing the wheel • Dozens of BERT implementations on Github • Which implementation should I choose?
5 .Difficult for beginners to get started • One architecture can result in many models • What model works best?
6 .Running models at scale • DevOps teams have dedicated MLOps subteams • I have a model, now what?
7 .Before Towhee After Towhee
8 .02 Solving Gaps in Machine Learning
9 . Application-oriented, not model oriented Make ML accessible in a couple lines of code Re-introduce the concept of pipelines and operators
10 .03 Say Hello to Towhee Zilliz’s Application-Oriented Machine Learning Platform
11 . An application-oriented machine learning platform, built on top of Pytorch and Tensorflow
12 . Towhee hub Pipeline inputs Pipeline outputs ML pipeline
15 .04 Call for Contributors
16 . Towhee 1.0: 2021-12-31 • First stable general release • Image and music embedding pipelines Towhee 1.x • Optimized for single instance Future work • High-level pipeline creation • GPU support Towhee 2.x • Cloud native • Inter-machine optimization
17 .Thanks for listening! towhee.io towhee-io/towhee