A captivating visualization by Financial Times that provides an in-depth understanding of how transformers work in the realm of Generative AI. It offers insights into the mechanics and intricacies of transformer architectures, showcasing the beauty of today's Large Language Models (LLMs).
Machine learning covers a lot of ground but it is also capable of making bad decision. We’ve also reached a stage of hype that folks forget that many classification problems can be handled by natural intelligence too. This package contains scikit-learn compatible tools that should make it easier to construct and benchmark rule based systems that are designed by humans. You can also use it in combination with ML models
C. Endres, T. Schwartz, and C. Müller. Proceedings of IUI '11: 16th International Conference on Intelligent User Interfaces, Palo Alto, CA, USA, page 327-330. (2011)
M. Ribeiro, S. Singh, and C. Guestrin. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, page 97--101. San Diego, California, Association for Computational Linguistics, (June 2016)