Agent

What are Multi-Agent Systems? A Beginner's Guide

Multi-Agent Systems (MAS) use multiple smart agents that sense, decide, and act independently while working together. Unlike traditional AI, they adapt quickly, scale easily, and power real-world solutions from traffic control to healthcare and e-commerce.

Language Models

5 Open-Source Coding LLMs You Can Run Locally in 2025

In 2025, open-source coding LLMs like Qwen3-Coder, Devastral, StarCode2, Codestral, and Qwen-2.5Coder offer sophisticated multi-language support, agentic task handling, long context windows, and state-of-the-art code generation for local use.

qwen

Qwen3 Coder: Agentic LLM-Coder For Software Development

In 2025, open-source coding LLMs like Qwen3-Coder offer sophisticated multi-language support, agentic task handling, long context windows, and state-of-the-art code generation for local use—empowering developers to build, debug, translate, and optimize code securely on their own har

mixture of experts

GLM-4.5 by Zhipu AI: Model for Coding, Reasoning, and Vision

GLM-4.5 delivers state-of-the-art open-source capabilities across language, code, and multimodal vision. Combining a 355B-parameter Mixture-of-Experts architecture, dual-mode reasoning, and native tool use, it sets new standards for coding, agentic, and multilingual tasks.

Vision AI

Advanced Vision Language Models: Gemma 3 And 3N Explained

Gemma 3 represent a leap in vision-language AI, featuring SigLIP-based visual encoders, up to 128k-token context windows, and state-of-the-art multilingual and function-calling capabilities.

Image Generation

Qwen: AI-Powered Visual Creation and Precise Image Editing

Qwen-Image & Qwen-Image-Edit leverage 20B parameter Multimodal Diffusion Transformers for sophisticated image understanding and editing—from adding/removing objects to style transfer and bilingual text editing.

nvidia

NVIDIA Isaac GR00T N1 Foundation Model For Humanoid Robots

Isaac GR00T N1—from NVIDIA—is an open foundation model and simulation toolkit enabling powerful reasoning, multistep manipulation, and cross-embodiment skills for humanoid robots. Modular, simulation-powered, and scalable for rapid AI robot development

Generative AI

How Genie 3 Builds Interactive 3D Scenes from Text

Genie 3, Google DeepMind’s latest AI world model, creates immersive 3D environments in real time from simple text prompts. It supports continuous interaction, dynamic world changes, and persistent memory—revolutionizing AI simulation and agent training.

ChatGPT

GPT-OSS Review: OpenAI's Free Model

GPT-OSS is an open-source framework for working with GPT-like models. It supports training, fine-tuning, deployment, and integration while ensuring transparency, community-driven development, and flexibility for research and production.

dino

DINOv3 Explained: The Future of Self-Supervised Learning

DINOv3 is Meta’s open-source vision backbone trained on over a billion images using self-supervised learning. It provides pretrained models, adapters, training code, and deployment support for advanced, annotation-free vision solutions.

Product Update

Product Update: July 2025

Our July 2025 update bring lots of improvement in image and video annotation experience, software latency and some new features. These changes will help you work faster, stay organized, and get more done. Advanced File Search & Filtering We've significantly enhanced our file search capabilities with powerful new

cvpr

CVPR 2025: Breakthroughs in GenAI and Computer Vision

CVPR 2025 (June 11–15, Music City Center, Nashville & virtual) features top-tier computer vision research: 3D modeling, multimodal AI, embodied agents, AR/VR, deep learning, workshops, demos, art exhibits and robotics innovations.

AI

KOSMOS-2 Explained: Microsoft’s Multimodal Marvel

KOSMOS-2 brings grounding to vision-language models, letting AI pinpoint visual regions based on text. In this blog, I explore how well it performs through real-world experiments and highlight both its promise and limitations in grounding and image understanding.

cvpr

CVPR 2025: Breakthroughs in Object Detection & Segmentation

CVPR 2025 (June 11–15, Music City Center, Nashville & virtual) features top-tier computer vision research: 3D modeling, multimodal AI, embodied agents, AR/VR, deep learning, workshops, demos, art exhibits and robotics innovations.

Vision Language Model

BLIP Explained: Use It For VQA & Captioning

BLIP (Bootstrapping Language‑Image Pre‑training) is a Vision‑Language Model that fuses image and text understanding. This blog dives into BLIP’s architecture, training tasks, and shows you how to set it up locally for captioning, visual QA, and cross‑modal retrieval.

SAM

SAM Fine-Tuning Using LoRA

Learn how to fine‑tune SAM with LoRA to achieve precise, domain‑specific segmentation without massive GPU costs. Freeze the SAM backbone, train only tiny low‑rank adapters, and deploy high‑accuracy models on modest hardware—fast, modular, and efficient.

object tracking

OC-SORT Tutorial: Critical Insights You Can’t Miss!

OC‑SORT claims improved occlusion and non‑linear motion handling by back‑filling virtual paths and using real detections, but its dependence on detector quality, straight‑line interpolation, and no appearance features can still lead to identity errors in dense or erratic scenes.

highdream

Text-to-Image Magic: HiDream-E1's Image Editing Hack

In fast-paced fashion, HiDream‑E1 cuts time and cost by using natural language to edit images—change colors, backgrounds, and accessories with pixel-perfect accuracy. Built on a 17B foundation model and Sparse Diffusion Transformer, it's a game-changer for creative workflows.

AI Model

5 Best AI Reasoning Models of 2025: Ranked!

Who leads AI reasoning in 2025? Explore how models—OpenAI o3, Gemini 2.5, Claude 3.7 Sonnet, Grok 3, DeepSeek‑R1, AM‑Thinking‑v1 stack up in benchmarks, context window, cost-efficiency, and real-world use cases. Spot the right fit for your next-gen AI project.

object tracking

Track Objects Fast: BoT-SORT + YOLO Explained!

BoT-SORT boosts multi-object tracking by refining box predictions, compensating for camera motion, and combining motion with appearance cues. Easily integrate it via Ultralytics YOLO or BoxMOT for robust tracking in crowded, dynamic scenes.

ai agent

The Rise of AI Agents in Data Labeling Explained

AI agents in data labeling pipelines. By combining semi-supervised learning, active learning, and human-in-the-loop workflows, they reduce manual effort by ~50% and cut annotation costs by up to 4×, all while maintaining accuracy above 90%.

minimax

MiniMax‑M1: 1M‑Token Open‑Source Hybrid‑Attention AI

Meet MiniMax‑M1: a 456 B‑parameter, hybrid-attention reasoning model under Apache 2.0. Thanks to a hybrid Mixture‑of‑Experts and lightning attention, it handles 1 M token contexts with 75% lower FLOPs—delivering top-tier math, coding, long‑context, and RL‑based reasoning.

object tracking

Track Crowds in Real-Time with FairMOT - A Detailed Tutorial

FairMOT is a real-time, anchor-free tracking system that solves identity switch issues by combining object detection and re-identification in a single network, ideal for crowded scenes, surveillance, sports, and autonomous systems.

Zero-Shot Segmentation

Qwen 2.5-VL 7B Fine-Tuning Guide for Segmentation

Unlock the full power of Qwen 2.5‑VL 7B. This complete guide walks you through dataset prep, LoRA/adapter fine‑tuning with Roboflow Maestro or PyTorch, segmentation heads, evaluation, and optimized deployment for smart object tasks.

Product Update

Product Update: May 2025

You told us you wanted a faster and more organized way to manage your projects, datasets, and API keys. We listened. Today, we are excited to announce a completely redesigned workflow experience. Our May 2025 update introduces a new landing page, a dedicated datasets section, and a secure place to