Towards AI

Last Updated on April 23, 2026 by Editorial Team Author(s): CapeStart Originally published on Towards AI. Nowadays, in the enterprise environment, information is dispersed across CRMs, ERPs, databases, and millions of APIs, resulting in an intricate web of disconnected data. At the same time, the realm of Artificial Intelligence is exploding with advanced tools such as LLMs for ...

Last Updated on April 23, 2026 by Editorial Team Author(s): DrSwarnenduAI Originally published on Towards AI. GPT-4 Has 1.8 Trillion Parameters. It Uses 2% of Them Per Token. DeepSeek-R1: 671 billion parameters. 37 billion active per token. DeepSeek-R1: 671 billion parameters. 37 billion active per token.The article discusses various machine learning models, focusing on their pa...

Last Updated on April 17, 2026 by Editorial Team Author(s): Raj kumar Originally published on Towards AI. When financial analysts need to segment customer profitability across product lines and regions, or when risk managers aggregate exposure metrics across multiple hierarchies, they rely on advanced grouping techniques that go far beyond basic sum() and mean() operations. Part...

Last Updated on April 16, 2026 by Editorial Team Author(s): Hossein Chegini Originally published on Towards AI. “A 100-Queen solution” …picture from ‘repo/images/solutions’ Code Investigation In the previous introduction, I provided a detailed explanation of the fundamental steps involved in training a Genetic Algorithm (GA). I discussed important concepts such as mutation, gene...

Last Updated on April 16, 2026 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Anthropic unveiled a new flagship-class model, Claude Mythos Preview. It limited access to the model to “Project Glasswing”, a tightly gated cyber-defense consortium with AWS, Apple, Broadcom, Cisco, CrowdStri...