Google AI Research team recently released Groundsource, a new methodology that uses Gemini model to extract structured historical data from […]
Category: Machine Learning
How to Build an Autonomous Machine Learning Research Loop in Google Colab Using Andrej Karpathy’s AutoResearch Framework for Hyperparameter Discovery and Experiment Tracking
In this tutorial, we implement a Colab-ready version of the AutoResearch framework originally proposed by Andrej Karpathy. We build an […]
NVIDIA Releases Nemotron 3 Super: A 120B Parameter Open-Source Hybrid Mamba-Attention MoE Model Delivering 5x Higher Throughput for Agentic AI
The gap between proprietary frontier models and highly transparent open-source models is closing faster than ever. NVIDIA has officially pulled […]
Quad Cortex mini amp modeler: All the power, half the size
Skip to content A warehouse of guitar gear in the palm of your hand. At this January’s massive NAMM music […]
The ‘Bayesian’ Upgrade: Why Google AI’s New Teaching Method is the Key to LLM Reasoning
Large Language Models (LLMs) are the world’s best mimics, but when it comes to the cold, hard logic of updating […]
How to Build Progress Monitoring Using Advanced tqdm for Async, Parallel, Pandas, Logging, and High-Performance Workflows
In this tutorial, we explore tqdm in depth and demonstrate how we build powerful, real-time progress tracking into modern Python […]
Google Launches TensorFlow 2.21 And LiteRT: Faster GPU Performance, New NPU Acceleration, And Seamless PyTorch Edge Deployment Upgrades
Google has officially released TensorFlow 2.21. The most significant update in this release is the graduation of LiteRT from its […]
Microsoft Releases Phi-4-Reasoning-Vision-15B: A Compact Multimodal Model for Math, Science, and GUI Understanding
Microsoft has released Phi-4-reasoning-vision-15B, a 15 billion parameter open-weight multimodal reasoning model designed for image and text tasks that require […]
A Coding Guide to Build a Scalable End-to-End Machine Learning Data Pipeline Using Daft for High-Performance Structured and Image Data Processing
In this tutorial, we explore how we use Daft as a high-performance, Python-native data engine to build an end-to-end analytical […]
YuanLab AI Releases Yuan 3.0 Ultra: A Flagship Multimodal MoE Foundation Model, Built for Stronger Intelligence and Unrivaled Efficiency
How can a trillion-parameter Large Language Model achieve state-of-the-art enterprise performance while simultaneously cutting its total parameter count by 33.3% […]