vivahir215

4 ms·

1. 1.▲
   by vivahir215 6mo ago

   Interesting Approach. Curious about the latency tradeoff: OLS + SVD are much heavier than Top-K.Have you benchmarked end-to-end inference latency?
2. 2.▲
   by vivahir215 1y ago

   Total Computational Budget in Hyperband need to be elaborated. There are more things to it.
3. 3.▲
   by vivahir215 1y ago

   I dont think its just a resource scheduling problem, there are more to it as well. The goal is Model Performance, not just efficient resource use. Nice article but I can see your point.
4. 4.▲
   by vivahir215 2y ago

   You could use https://github.com/trailofbits/fickling for analysis.
5. 5.▲
   by vivahir215 2y ago

   Cool.
6. 6.▲
   by vivahir215 2y ago

   ah okay. Didnt know this. I generally use pytorch save models for my workflow.
7. 7.▲
   by vivahir215 2y ago

   Nice read ! You could also use joblib format as well.
8. 8.▲
   by vivahir215 2y ago

   Hmm, Okay. I am not sure if managing kafka connect cluster in too expensive in long term. This solution might work for you based on your needs. I would suggest to look for alternatives.
9. 9.▲
   by vivahir215 2y ago

   Good read. I do have a question on the BigQuery. i f you were experiencing unpredictable query costs or customization issues, that sounds like user error. There are ways to optimize or commit slots for reducing the cost. Did you try that ?