yubozhao

8 ms·

31.
Show HN: Yatai: Production-first ML platform on Kubernetes(github.com)
4 points by yubozhao 4y ago|0 comments
32.
by yubozhao 4y ago
With stable diffusion out and making it trivial to generate fake images, Blockchain and NFT are going to be more indispensable in proving authenticity
33.
Automated Model Deployment with Yatai(gist.github.com)
1 points by yubozhao 4y ago|0 comments
34.
by yubozhao 4y ago
Curious about your reason behind being less of a fan of the SSPL license. Can you elaborate more? disclosure: I have a repo using the SSPL license
35.
by yubozhao 4y ago
I have polio from the vaccination (mid 80s in China). Shitty vaccine then. The long term affect is not fun. And not to mention post polio syndrome.
36.
by yubozhao 4y ago
Hey Komatsu, thanks for supporting! haha, I wish we created spam accounts....Tried to get on the first page by posting to the community slack, but that didn't work :(
37.
Show HN: BentoML goes 1.0 – A faster way to ship your models to production(github.com)
35 points by yubozhao 4y ago|13 comments
38.
by yubozhao 4y ago
hello, maintainer for bentoml here. Elastic license prevents users to bundle the project as part of their commercial offering. They can use however they want internally. For BentoML, we will stay with Apache-2, because we see this could be
39.
Show HN: Bentoctl – An open-source Terraform deployment tool for ML(github.com)
3 points by yubozhao 4y ago|2 comments
40.
Bentoctl: Deploy ML services to any cloud services not just Kubernetes(modelserving.com)
6 points by yubozhao 4y ago|0 comments
41.
by yubozhao 4y ago
If copilot saves more than 30 mins of your time per month, then it is totally worth it.
42.
Breaking up with Flask and FastAPI: Why they don’t scale for ML model serving(modelserving.com)
38 points by yubozhao 4y ago|42 comments
43.
A Software Engineer’s Guide to Model Serving(modelserving.com)
3 points by yubozhao 4y ago|0 comments
44.
Solving ML Model Reproducibility: Lessons Learned from a Covid Hackathon(blog.bentoml.com)
4 points by yubozhao 4y ago|0 comments
45.
SE daily – Model deployment with BentoML(softwareengineeringdaily.com)
3 points by yubozhao 6y ago|0 comments
46.
by yubozhao 7y ago
hi OP. We built an open-source library called, BentoML( https://github.com/bentoml/bentoml ) to make model inferencing/serving a lot easier for Data scientists in various serving scenarios. Love to hear your though
47.
by yubozhao 7y ago
I think it is also worth examining what type of production load and its importance within the business. For mission critical production usage, I think to use high performance systems/languages is pretty good starting point. With the as
48.
by yubozhao 7y ago
hi Aaron, We did exactly what works for you into a open source python library, github.com/bentoml/bentoml. It packages your model for you into a standardized format, that you can use it in multiply serving scenarios online serving
49.
by yubozhao 8y ago
As of now, GraphQL server implementations that I know of, does not manage sort and filters for you. It is up to your resolver to handle those. In case of stitching schema together(for example, your own schema plus the GitHub one), you woul
50.
by yubozhao 8y ago
Looking forward to read about it. Thank you for the project!
51.
AWS DynamoDB Storage Back End for Titan(docs.aws.amazon.com)
2 points by yubozhao 11y ago|0 comments
52.
by yubozhao 11y ago
Looking forward to titan 1.0 :)
53.
by yubozhao 11y ago
It is more useful for manually working with graph. You have more control of what happens and build complex graph traversals. Also, it is not tied to any graph db. Gremlin is part of Tinkerpop, a graph framework, http://tinkerp
54.
Unlocking the Brain’s Drive to Mastery(medium.com)
2 points by yubozhao 14y ago|0 comments
55.
I don’t want Twitter 2.0 — I want to be disrupted(medium.com)
1 points by yubozhao 14y ago|0 comments
56.
The Data Diet: How I Lost 60 Pounds Using A Google Docs(medium.com)
8 points by yubozhao 14y ago|5 comments