Scalytics Connect Blogs With The Topic: Open Source

The Return of Multiagent Systems - Thanks to LLMs

Multiagent systems (MAS) are groups of intelligent agents working together to achieve a common goal. LLMs power these agents, enabling them to remember, plan, and use tools. Examples include virtual simulations and scientific discovery agents.

Author:

Dr. Tristan Behrens

LST-E: Our Industry-Specific Energy Forecasting Model

LST-E is Scalytics' advanced energy forecasting model built on LSTM architecture, designed to optimize energy usage, reduce costs, and lower emissions. Trained using federated learning on decentralized data, it ensures compliance while delivering highly accurate, actionable predictions. Available on GitHub and HuggingFace, LST-E empowers businesses to make smarter energy decisions with tailored, regulation-compliant AI solutions.

Author:

Scalytics

Apache Wayang: More than a Big Data Abstraction

Apache Wayang is a powerful open-source framework for data platform processing, offering a flexible, cost-effective solution for federated data.

Author:

Dr. Jorge Quiané

Why is federated learning so crucial?

Federated Learning (FL) is revolutionizing distributed computing frameworks by enabling decentralized data processing and enhancing privacy. Early adopters like Google, Apple, and NASA use FL to improve products, increase operational efficiency, and maintain data privacy. This post delves into FL's role in the real-world adoption of distributed frameworks, its commercial applications, and the future impact on AI and data-driven industries.

Author:

Alexander Alten-Lorenz