by admin | Aug 2, 2025 | Ai & Robotics
In this tutorial, we explore a powerful multi-agent system built around peer patterns: planning, execution, expression, and review. We run the entire workflow in Google Colab/Notebook, integrate agents with professional roles, and leverage Google’s Gemini 1.5...
by admin | Aug 2, 2025 | Ai & Robotics
Experimental tracking is an important part of modern machine learning workflows. Whether you are adjusting hyperparameters, monitoring training metrics, or working with colleagues, you must have robust, flexible tools to make tracking experiments direct and...
by admin | Aug 1, 2025 | Ai & Robotics
introduce The Falcon-H1 series developed by the Institute of Technology Innovation (TII) marks a significant advance in the evolution of the Big Language Model (LLMS). By integrating transformer-based attention with MAMBA-based state space model (SSM), Falcon-H1...
by admin | Aug 1, 2025 | Ai & Robotics
The generated AI landscape is dominated by large-scale language models, often designed for the vast capabilities of cloud data centers. While powerful, these models make it difficult or impossible for everyday users to deploy advanced AI privately and effectively on...
by admin | Jul 31, 2025 | Ai & Robotics
Large Language Models (LLMs) dedicated to encoding are now an integral part of software development’s productivity through code generation, bug fixes, documentation and refactoring. The intense competition between commercial and open source models has led to rapid...
by admin | Jul 31, 2025 | Ai & Robotics
Introduction: Data Dilemma in Earth Observation Over fifty years since the first Lansat satellite, Earth has emerged in unprecedented Earth Observation (EO) data for satellites, radars, climate simulations and on-site measurements. However, there is still an ongoing...
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