News

AI Agent in Action: Automating Desktop Tasks with VLMs

Learn how to build AI agent from scratch using Moondream3 and Gemini. It is a generic task based agent free from application APIs.

Agentic AI, GUI, VLMs

The Ultimate Guide To VLM Evaluation Metrics, Datasets, And Benchmarks

Get a comprehensive overview of VLM Evaluation Metrics, Benchmarks and various datasets for tasks like VQA, OCR and Image Captioning.

Computer Vision, VLMs

Getting Started with VLM on Jetson Nano

Learn how to setup a pipeline to run VLM on Jetson Nano using Huggingface Transformers. Run models like LiquidAI, Moondream2, FastVLM, and SmolVLM.

Edge Devices, Jetson Nano, VLM on Jetson Nano, VLMs

VLM on Edge: Worth the Hype or Just a Novelty?

Testing Vision Language Models (VLM) on edge devices. Check how small VLMs perform on our custom Raspberry Pi Cluster and Jetson Nanos.

Edge Devices, Jetson Nano, Raspberry Pi, VLMs

AnomalyCLIP : Harnessing CLIP for Weakly-Supervised Video Anomaly Recognition

Video Anomaly Detection (VAD) is one of the most challenging problems in computer vision. It involves identifying rare, abnormal events in videos – such as burglary, fighting, or accidents –

Anomaly Detection, Vision Transformer, VLMs

AI for Video Understanding: From Content Moderation to Summarization

The rapid growth of video content has created a need for advanced systems to process and understand this complex data. Video understanding is a critical field in AI, where the

Computer Vision, Generative AI, Video Analysis, Vision Language Models

Video-RAG: Training-Free Retrieval for Long-Video LVLMs

Learn how Video-RAG boosts training-free and low-compute long-video understanding by pairing OCR, ASR, and open-vocabulary detection with any long-video LVLMs.

RAGs, VLMs

Object Detection and Spatial Understanding with VLMs ft. Qwen2.5-VL

What if object detection wasn't just about drawing boxes, but about having a conversation with an image? Dive deep into the world of Vision Language Models (VLMs) and see how

Computer Vision, LLMs, NLP, Vision Language Models, VLMs

LangGraph: Building Self-Correcting RAG Agent for Code Generation

Welcome back to our LangGraph series! In our previous post, we explored the fundamental concepts of LangGraph by building a Visual Web Browser Agent that could navigate, see, scroll, and summarize

Agentic AI, AI Art Generation, Computer Vision, Generative AI, Generative Models, Hugging Face Transformers, Multimodal Models, Vision Language Models

Inside Sinusoidal Position Embeddings: A Sense of Order

In the groundbreaking 2017 paper “Attention Is All You Need”, Vaswani et al. introduced Sinusoidal Position Embeddings to help Transformers encode positional information, without recurrence or convolution. This elegant, non-learned

Language Models, LLMs, NLP

Inside RoPE: Rotary Magic into Position Embeddings

Self-attention, the beating heart of Transformer architectures, treats its input as an unordered set. That mathematical elegance is also a curse: without extra signals, the model has no idea which

Language Models, LLMs, NLP

SimLingo: Vision-Language-Action Model for Autonomous Driving

SimLingo is a remarkable model that combines autonomous driving, language understanding, and instruction-aware control—all in one unified, camera-only framework. It not only delivered top rankings on CARLA Leaderboard 2.0 and

Advanced Driver Assistance Systems, Autonomous Vehicle, Computer Vision, Robotics, VLMs