Generative AI

vLLM: Deploying LLMs at Scale Like OpenAI

vLLM Paper Explained. Understand how pagedAttention, and continuous batching works along with other optimizations by vLLM over time.

Deployment, Generative AI

The Ultimate Guide to Vector DB and RAG Pipeline

Processing long documents with VLMs or LLMs poses a fundamental challenge: input size exceeds context limits. Even with GPUs, as large as 12 GB can barely process 3-4 pages at

Generative AI, VLMs

What Makes DeepSeek OCR So Powerful?

DeepSeek OCR Paper Explanation and Test using Transformers and vLLM Pipeline. Understanding Context Optical Compression and model architecture in depth.

Generative AI, OCR, Text Recognition

VideoRAG: Redefining Long-Context Video Comprehension

Discover VideoRAG, a framework that fuses graph-based reasoning and multi-modal retrieval to enhance LLMs' ability to understand multi-hour videos efficiently.

Agentic AI, LLMs, RAGs, Video Analysis, Vision Language Models

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

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

FineTuning Gemma 3n for Medical VQA on ROCOv2

What if a radiologist facing a complex scan in the middle of the night could ask an AI assistant for a second opinion, right from their local workstation? This isn't

Computer Vision, Generative AI, Generative Models, LLMs, Multimodal Models, NLP, Transformer Neural Networks, Vision Language Models, Vision Transformer, 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

SigLIP 2: DeepMind’s Multilingual Vision-Language Model

SigLIP-2 represents a significant step forward in the development of multilingual vision-language encoders, bringing enhanced semantic understanding, localization, and dense feature extraction capabilities. Built on the foundations of SigLIP, this

Computer Vision, Generative AI, LLMs, NLP, VLMs

MedGemma: Google’s Medico VLM for Clinical QA, Imaging, and More

Imagine an AI co-pilot for every clinician, capable of understanding both complex medical images and dense clinical text. That's the promise of MedGemma, Google's new Vision-Language Model specifically trained for

Generative AI, LLMs, Vision Language Models, VLMs

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 Architecture) stands out

Generative AI, video classification, Vision Language Models