sourabh03agr

11 ms·

1. 61.▲
   by sourabh03agr 4y ago

   Yes, general observability tools don't work well for ML applications as they lack support for ML specific use cases such as attaching Ground Truth label, data drift, model bias, etc. Beyond that, requirements for Deep learning models i
2. 62.▲
   by sourabh03agr 4y ago

   Completely agree! We have also seen our users more concerned about comparing the real-world distribution against the training data as compared to previous month's data (we found latter is more useful for PMs and setting alerts). We cur
3. 63.▲
   by sourabh03agr 4y ago

   Thanks a lot! Yes, we are big believers of open-source :)
4. 64.▲
   by sourabh03agr 4y ago

   Also, happy to share our learnings of working with a social media customer. For them, key motivation was to understand where the model is failing and hence, understand how to improve it. They started with offline experiments with focus on i
5. 65.▲
   by sourabh03agr 4y ago

   Being open-source is a key differentiator. With us being open-source, UpTrain can be easily customized for any specific use-case. With UpTrain, one can define custom measures to monitor upon, add custom algorithms for model stability or dri
6. 66.▲
   by sourabh03agr 4y ago

   There are two ways: 1. We use model-inferred embeddings. Say, for the instance segmentation task, we use deep learning networks to transform the input image into a dense embeddings representation, on top of which we run clustering and densi
7. 67.▲
   by sourabh03agr 4y ago

   Thanks! So, providing ground-truth is optional (and can be added at a later time). For each logged input, the tool returns an identifier which you can use to attach the ground truth (or any other relevant information which your custom monit
8. 68.▲
   by sourabh03agr 4y ago

   Thanks for the question! Our initial focus is more on how to find the most relevant data-points from the hundred gigabytes of data to retrain the model on. Our current data management strategy is pretty primitive, either local files or we c
9. 69.▲
   by sourabh03agr 4y ago

   At the end of the day, the so-called AI generated art is a result of millions of artworks which were consumed by the AI model while training. I always like to draw parallels between AI copyrights and NFTs in the Web3 world. While minting NF
10. 70.▲
    by sourabh03agr 4y ago

    Looks good but this works well only for gamey, sci-fi kind of themes. Any suggestions for prompts which can yield interesting flowcharts to explain technical concepts?