In this tutorial, we build a complete scientific discovery agent step by step and experience how each component works together […]
Category: Staff
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 […]
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 […]
Black Forest Labs Releases FLUX.2: A 32B Flow Matching Transformer for Production Image Pipelines
Black Forest Labs has released FLUX.2, its second generation image generation and editing system. FLUX.2 targets real world creative workflows […]
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, […]
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 […]
Microsoft AI Releases Fara-7B: An Efficient Agentic Model for Computer Use
How do we safely let an AI agent handle real web tasks like booking, searching, and form filling directly on […]
NVIDIA AI Releases Nemotron-Elastic-12B: A Single AI Model that Gives You 6B/9B/12B Variants without Extra Training Cost
Why are AI dev teams still training and storing multiple large language models for different deployment needs when one elastic […]
AI Interview Series #3: Explain Federated Learning
Question: “You’re an ML engineer at a fitness company like Fitbit or Apple Health. Millions of users generate sensitive sensor […]
Moonshot AI Researchers Introduce Seer: An Online Context Learning System for Fast Synchronous Reinforcement Learning RL Rollouts
How do you keep reinforcement learning for large reasoning models from stalling on a few very long, very slow rollouts […]