DeepMind’s SIMA 2 integrates Gemini models to create AI agents that don’t just follow instructions—they reason, converse, and self-improve in 3D game environments. A deep dive into the future of em...

Depth Anything 3 (DA3) predicts spatially consistent geometry from arbitrary visual inputs using a single plain transformer and depth-ray representation, achieving SOTA performance surpassing VGGT ...

Explore how Spring AI enables LLM-as-a-Judge pattern for automated response evaluation using recursive advisors. Learn to build production-ready evaluation systems that assess LLM output quality, r...

A comprehensive guide to MLOps monitoring and observability. Learn why models degrade in production, understand data drift vs concept drift, training-serving skew, and techniques for detecting thes...

A complete implementation guide for reproducing RLHF (Reinforcement Learning from Human Feedback) on a single DGX Spark. Learn how to train SFT models, reward models, DPO, and GRPO for TL;DR summar...

A comprehensive survey of the evolution from Pipeline-based to Model-native Agentic AI. Explore how planning, tool use, and memory capabilities are being internalized within models through reinforc...

Exploring how to build AI agents that can autonomously navigate and query graph databases using Java, bridging the gap between traditional GraphRAG and agentic AI

A deep dive into implementing LLaMA 4’s Mixture-of-Experts (MoE) architecture from scratch using PyTorch. Learn how MoE enables efficient scaling to hundreds of billions of parameters while maintai...

VGGT introduces a feed-forward transformer that performs 3D reconstruction from one to hundreds of scene views in a single forward pass, predicting camera parameters, depth maps, point maps, and 3D...