Introduction A few months ago, while working on a critical deployment for a client, we...

Applied to a very real problem: baking bread!

Why splitting your objectives and your model might be the key to better performance and clearer trade-offs in deep learning.

Scalable fine-tuning techniques for large language models

How to choose an estimate that minimizes the squared relative errors to each of the data points. The

Prompt learning presents a compelling approach for continuous improvement of AI applications The post Exploring Prompt Learning: Using English Feedback to Optimize LLM Systems appeared first on…

Understanding the duality of optimization problem, primal to dual conversion, and the optimality conditions for linear problems.

COMSOL's surrogate models are turning complex simulations into fast, standalone apps for real-time decisions.