Object Detection is predominantly a vision task where we train a vision model, like YOLO, to predict the location of the object along with its class. But still it depends on the pre-trained classes, ...
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 ...
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 ...
Optimizing VJEPA-2: Tackling Latency & Context in Real-Time Video Classification Scripts
The domain of video understanding is rapidly evolving, with models capable of interpreting complex actions and interactions within video streams. Meta AI's VJEPA-2 (Video Joint Embedding Predictive ...
FineTuning RetinaNet for Wildlife Detection with PyTorch: A Step-by-Step Tutorial
According to World Wildlife Fund assessments, the global biodiversity crisis has reached critical levels, with terrestrial mammal populations declining by 69% since 1970. From Africa’s savannahs to ...
Introducing YOLO-NAS Pose: A Leap in Pose Estimation Technology
YOLO-NAS Pose models is the latest contribution to the field of Pose Estimation. Earlier this year, Deci garnered widespread recognition for its groundbreaking object detection foundation model, ...