Bhomik Sharma

TRM: Tiny AI Models beating Giants on Complex Puzzles

Models with billions, or trillions, of parameters are becoming the norm. These models can write essays, generate code, as well as create art. But they can still get stuck on

Neural Attention, Transformer Neural Networks

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

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

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

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

Building an Agentic Browser with LangGraph: A Visual Automation and Summarization Pipeline

Developing intelligent agents, using LLMs like GPT-4o, Gemini, etc., that can perform tasks requiring multiple steps, adapt to changing information, and make decisions is a core challenge in AI development.

Agentic AI, Computer Vision, Generative AI, Generative Models, LLMs, VLMs