inf3cti0n95

Re:I'm going back to writing code by hand on Tuesday May 12, 2026 @02:49AM (#48105047)

Yea, happend to me as well, I left my agent to write code, it went down a rabbit hole of solving a typescipt error and ended up removing the package's type files to remove the error from source. lol!

that's when I stopped.

Re:Local AI needs to be the norm on Sunday May 10, 2026 @10:40PM (#48090509)

Certainly, I don't think Data centers are the way here.

I guess, it'll most likely be an AI processing and everything else becoming API.

In case of GPTs and Claudes of the world. They'll be just using an Indexing APIs and KB on top of their LLMs.

Re:Machine Learning Deployment Frameworks on Wednesday March 13, 2019 @11:48AM (#19379834)

The problem is, I have to build a generic deployment system for the researchers. To deploy their Model.

Inference frequency would be quite low, but multiple models could be deployed at time.

Machine Learning Deployment Frameworks

Posted by inf3cti0n95 on Wednesday March 13, 2019 @09:54AM
from the self-post dept.

What are the different alternatives for ML Model Deployments and Pipelines and Pros and Cons for each.I have came across few- GraphPipe (https://oracle.github.io/graphpipe/#/) from Oracle- Tensorflow Serving, TFX (https://www.tensorflow.org/tfx/) from Google- Mlflow (https://mlflow.org) from databricks- kubeflow (https://www.kubeflow.org/) from Google- Seldon (https://www.seldon.io/)I am...

( Read More... | 3 comments | 3 points | on HN )

Re:Y Combinator Resources for Developers on Wednesday February 20, 2019 @07:37AM (#19207357)

Looks like they were in a hurry to get this site out.