How to make model training and re-training faster and cheaper? We envisioned a multi-use AutoML, aiming to create a solution superior to other HPO services in the market.
Created a novel solution for AI/ML for Techila's computing environment.
Used Bayesian optimization, gradient-free optimization, random&grid search as well as reinforcement learning.
Extended the product to a multi-use AutoML with black box optimization capabilities.
Techila Distributed Computing Engine is a next generation compute grid. It is a user-friendly solution that can improve the productivity of users from the research and development to applications that are deployed within production environments.
In this project, Techila wanted to create a novel solution for AI/ML for their computing environment. Together we identified hyperparameter optimization as a potential candidate. Our data scientists started working as part of Techila’s team, aiming to create a solution superior to other HPO services in the market.
Starting with this idea, we also extended the product to a multi-use AutoML with black box optimization capabilities. In practice, it takes in parameters and returns a score, which is used to fine-tune the input parameters. The solution is instantly usable by data science teams, reducing the need for manual processing of parameters. This makes model training and re-training a lot faster and, most importantly, cheaper.
For tech enthusiasts, we used for example Bayesian optimization, gradient-free optimization, random&grid search as well as reinforcement learning to come up with the state-of-the-art solution, with tools like Scikit-Learn, CatBoost, XGBoost, LGBM, Keras/Tensorflow and Pytorch.
Picture this: Veracell, once a humble player in healthcare, now revolutionizing multiple sectors. We're crafting on the bleeding edge, and we can't wait to take you with us.
Ever wondered what if? We have. Let us collect, clean, and catalyze your data into a future you didn't dare to envision.
These glimpses are just the tip of the iceberg. Together, let's turn your "what-ifs" into "how-tos," shaping a future we dare to dream.Contact us