Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

If you'd like a little more control over what you see, allow me to share with you the steps I took to finally tame my own YouTube algorithm. Despite how much time we devote to watching YouTube ...

Modern search algorithms understand context, intent, and relationships between concepts in ways that make traditional keyword-focused metrics increasingly irrelevant. These algorithms recognize ...

Despite their advancements, existing RL-Zero approaches often optimize retrieval using search-centric metrics that ignore downstream utility. Moreover, they require fine-tuning the LLM ...

Today, I’m talking with Kevin Scott, the chief technology officer of Microsoft and one of the company’s AI leaders. This is Kevin’s third time on Decoder, and he’s one of my favorite guests.

The Euclidean algorithm appears in Proposition 2 in Book 7 of Euclid’s The Elements. This article explores the relationship between some of the concepts and procedures that appear in this Proposition ...

Enhancing the nonconvexity of the objective function leads traditional convex optimization algorithms easily to fall into the local optimum. To address the above problem, a penalty removal search ...

By exploring the application of the modified old Babylonian algorithm in non-linear vibrations, we aim to contribute to a deeper understanding of both the ancient mathematical heritage and its ...

Results show that ZeroSearch outperforms real search engine-based models while incurring zero API cost. Moreover, it generalizes well across both base and instruction-tuned LLMs of various sizes and ...

There is a specific focus on reinforcement learning with several contextual bandit algorithms implemented and the online nature lending to the problem well. Vowpal Wabbit is a destination for ...