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prasann16

Re:Show HN: Clean, high-quality AI image generation on Tuesday May 13, 2025 @12:09PM (#43974478)
Looks awesome!

Best interface to Chat with Books

Built the best interface out there to chat with your books! PERIOD!Chat with a book, or entire Library, or group of books, create contexts and jump to exact page that talks about it to read more! Can upload up to 20,000 pages and all your books stay in cloud to reference anytime.I have tried a bunch of other tools but all are too hacky and none provide ability to jump to exact page in the book....

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Re:Best interface to Chat with your Books on Friday June 30, 2023 @01:31PM (#36538930)
Built the best interface out there to chat with your books! PERIOD!

Chat with a book, or entire Library, or group of books, create contexts and jump to exact page that talks about it to read more! Can upload up to 20,000 pages and all your books stay in cloud to reference anytime.

Try now: https://myreader.ai.

I have tried a bunch of other tools for this but they are all too hacky and none provide the ability to jump to exact page in book. Open to feedback!

Re:Deploying ML/Deep Learning Models to Production on Monday January 28, 2019 @06:23PM (#19022103)
It's not necessary for me to own the pipeline. I am just looking for a scalable service where I can upload my model and it will provide me with API for inference which I can use on my website. Have you used any managed services like Algorithmia or Microsoft Azure ML? Do you know any other services I can look into?
Re:Deploying ML/Deep Learning Models to Production on Monday January 28, 2019 @06:20PM (#19022073)
I am not getting anything out of building my own pipeline. I am using Pytorch. Do you know something similiar to Google ML Engine for Pytorch where I can upload my model and it will provide an api for inference?

Deploying ML/Deep Learning Models to Production

What platform do you guys use to deploy your Machine Learning/Deep Learning models to production?Do you guys prefer building a custom solution (using flask/Docker) or using managed services like Azure, Algorithmia, etc? and Why?I have never deployed models before so looking at pros/cons of each approach.

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