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AI Singapore (AISG) has released Sea-Lion V4, an open source multi-model model developed in collaboration with Google and based on the Gemma 3 (27b) architecture. The model is designed to support Southeast Asian languages,...
Both GPU and TPU Playing a crucial role in accelerating the training of large transformer models, but their core architecture, performance profiles, and ecosystem compatibility create significant differences in use cases, speed, and flexibility....
Recent advances Large Language Model (LLM) Diagnostic AI Agent Systems have been generated that enable high-quality clinical dialogue, differential diagnosis and management programs in simulated environments. However, providing personal diagnostic and treatment advice remains...
In this tutorial, we will explore how to implement the Judge AS-AA-Gudge method to evaluate large language model output. Rather than assigning an isolated number worth points to each response, the method makes a...
In this tutorial, we explore Gluonts From a practical point of view, we are generating complex synthetic datasets, preparing them and applying multiple models in parallel. We focus on how to work with different...
In today’s data-driven world, databases form The backbone of modern applications– From mobile applications to enterprise systems. Understanding the different types of databases and their applications is essential to selecting the right system for...
American corporate AI has left the experimental stage. CFO expectations Clear ROIthe board of directors expects Evidence of risk supervisionand regulatory expectations Controls consistent with existing risk management obligations. Against this background, every vice...
In this tutorial, we implement an AI proxy based on advanced graphs using Graphagent Framework and Gemini 1.5 Flash model. We define a directed node graph, each node responsible for a specific function: a...
Particle-based simulations and point cloud applications are driving massive expansion of size and complexity of scientific and commercial datasets, often jumping into the realm of billions or trillions of discrete points. Effectively reducing, storing...
Large language models are often refined after preprocessing using supervised fine tuning (SFT) or enhanced fine tuning (RFT), and each language model has obvious advantages and limitations. SFT can effectively teach guided tracking through...