LangGraph: Building a Self-Correcting RAG Agent for Code Generation Ready to level up your AI workflows? In our latest #LangGraph post, we built a self-correcting RAG agent that writes Python code with Hugging Face Diffusers, runs it, learns from errors, and iterates until
@learnopencv
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RoPE: Rotary Positional Embeddings in Transformer Models
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📢Inside RoPE: Rotary Magic into Position Embeddings
— Satya Mallick (@LearnOpenCV) 23 juillet 2025
This week, we take a comprehensive look at Rotary Positional Embeddings (RoPE), an advanced technique used in Transformer-based models to enhance long-context understanding. RoPE addresses the limitations of traditional… pic.twitter.com/HIZH4LwKePInside RoPE: Rotary Magic into Position Embeddings This week, we take a comprehensive look at Rotary Positional Embeddings (RoPE), an advanced technique used in Transformer-based models to enhance long-context understanding. RoPE addresses the limitations of traditional
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Fine-Tuning Gemma 3n for Medical VQA: On-Device Clinical AI
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📢Fine-Tuning Gemma 3n for Medical VQA
— Satya Mallick (@LearnOpenCV) 15 juillet 2025
The future of clinical AI is on-device, private, and specialized. We took Google's new Gemma 3n, a powerful but generalist VLM, and fine-tuned it to become a radiologist's assistant.
Our latest guide provides a deep dive into the process,… pic.twitter.com/r6AfxZEr7CFine-Tuning Gemma 3n for Medical VQA The future of clinical AI is on-device, private, and specialized. We took Google's new Gemma 3n, a powerful but generalist VLM, and fine-tuned it to become a radiologist's assistant. Our latest guide provides a deep dive into the process,
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Build a Visual Web-Browser Agent with LangGraph
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Explore LangGraph: Build a Visual Web‑Browser Agent Enhance your AI automation stack with a visual web‑browser agent, leveraging LangGraph, Playwright, Gemini (or GPT‑4o), and vision‑enabled LLMs. In this comprehensive LearnOpenCV guide, you will learn about: • The
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VJEPA-2: Optimizing Meta’s Video Understanding Model for Real-Time Performance
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Optimizing VJEPA-2: Tackling Latency & Context in Real-Time Classification Scripts Meta’s VJEPA-2 is changing the game in video understanding.
From nuanced action recognition to smart temporal reasoning, this self-supervised model is built for the future of video AI. -
GLM-4.1V-Thinking: Powerful Vision-Language Model for Multimodal Reasoning
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GLM-4.1V-Thinking – a powerful new vision-language model for multimodal reasoning!
From STEM to GUI agents, it outperforms models 8x its size.
Open-source, scalable, and state-of-the-art.
Paper Link: https://
arxiv.org/abs/2507.01006 #AI #VLM #Multimodal #GLM4 #OpenSourceAI -
Nanonets-OCR-s: Advanced Document Understanding Beyond Text Extraction
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Nanonets-OCR-s: Enabling Rich, Structured Markdown for Document Understanding Most OCR tools stop at text.
But real-world documents are more than words, they’re tables, logos, watermarks, and structure. Nanonets-OCR-s doesn’t just extract, it understands.
A next-gen -
V-JEPA 2: Meta’s AI Breakthrough for Physical World Understanding
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V-JEPA 2: Meta’s Breakthrough in AI for the Physical World Meta AI’s V-JEPA 2 is here, understanding video, predicting outcomes, and planning actions without a single label.
This is zero-shot learning for robotics, and it's groundbreaking. Read the blog to see how AI just -
Fine-Tuning AnomalyCLIP for Zero-Shot Anomaly Detection
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Fine-Tuning AnomalyCLIP: Class-Agnostic Zero-Shot Anomaly Detection In this week’s deep dive, we explore how AnomalyCLIP, a CLIP-based vision-language model, performs zero-shot and fine-tuned anomaly detection on the TN3K thyroid nodule segmentation dataset. Using a robust
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GR00T N1.5: NVIDIA’s VLA Model Teaching Robots Like Toddlers
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📢GR00T N1.5 Explained: NVIDIA’s VLA Model for Humanoids
— Satya Mallick (@LearnOpenCV) 30 juin 2025
🧠 Imagine teaching a robot like you’d teach a toddler, show, guide, repeat. Only this time, it’s not just blocks, it’s fruit, microwaves, tools… the whole world.
Now, with NVIDIA’s GR00T N1.5, robots can start learning… pic.twitter.com/FiQRuPapGoGR00T N1.5 Explained: NVIDIA’s VLA Model for Humanoids Imagine teaching a robot like you’d teach a toddler, show, guide, repeat. Only this time, it’s not just blocks, it’s fruit, microwaves, tools… the whole world.
Now, with NVIDIA’s GR00T N1.5, robots can start learning