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.