Meta AI Researchers Introduce Matrix: A Ray Native a Decentralized Framework for Multi Agent Synthetic Data Generation
How do you keep synthetic data fresh and diverse for modern AI models without turning a single orchestration pipeline into the bottleneck? Meta AI researchers introduce Matrix, a decentralized framework…
StepFun AI Releases Step-Audio-R1: A New Audio LLM that Finally Benefits from Test Time Compute Scaling
Why do current audio AI models often perform worse when they generate longer reasoning instead of grounding their decisions in the actual sound. StepFun research team releases Step-Audio-R1, a new…
NVIDIA AI Releases Orchestrator-8B: A Reinforcement Learning Trained Controller for Efficient Tool and Model Selection
How can an AI system learn to pick the right model or tool for each step of a task instead of always relying on one large model for everything? NVIDIA…
A Coding Guide to Design an Agentic AI System Using a Control-Plane Architecture for Safe, Modular, and Scalable Tool-Driven Reasoning Workflows
In this tutorial, we build an advanced Agentic AI using the control-plane design pattern, and we walk through each component step by step as we implement it. We treat the…
DeepSeek AI Releases DeepSeekMath-V2: The Open Weights Maths Model That Scored 118/120 on Putnam 2024
How can an AI system prove complex olympiad level math problems in clear natural language while also checking that its own reasoning is actually correct? DeepSeek AI has released DeepSeekMath-V2,…
A Coding Implementation for an Agentic AI Framework that Performs Literature Analysis, Hypothesis Generation, Experimental Planning, Simulation, and Scientific Reporting
In this tutorial, we build a complete scientific discovery agent step by step and experience how each component works together to form a coherent research workflow. We begin by loading…
OceanBase Releases seekdb: An Open Source AI Native Hybrid Search Database for Multi-model RAG and AI Agents
AI applications rarely deal with one clean table. They mix user profiles, chat logs, JSON metadata, embeddings, and sometimes spatial data. Most teams answer this with a patchwork of an…
Tencent Hunyuan Releases HunyuanOCR: a 1B Parameter End to End OCR Expert VLM
Tencent Hunyuan has released HunyuanOCR, a 1B parameter vision language model that is specialized for OCR and document understanding. The model is built on Hunyuan’s native multimodal architecture and runs…
Salesforce AI Research Introduces xRouter: A Reinforcement Learning Router for Cost Aware LLM Orchestration
When your application can call many different LLMs with very different prices and capabilities, who should decide which one answers each request? Salesforce AI research team introduces ‘xRouter’, a tool-calling–based…
How to Implement Functional Components of Transformer and Mini-GPT Model from Scratch Using Tinygrad to Understand Deep Learning Internals
In this tutorial, we explore how to build neural networks from scratch using Tinygrad while remaining fully hands-on with tensors, autograd, attention mechanisms, and transformer architectures. We progressively build every…














