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Unsloth: Making LLM Fine-Tuning Faster, Lighter, Smarter

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06 May 2025 17h57

🚀Fine-tuning large language models doesn’t have to be expensive or complex, and in this new blog post, we break down how Unsloth is making fine-tuning faster, lighter, and smarter.

What’s Inside?
👉A complete walkthrough of the Unsloth framework
👉Detailed Answer to Why Do We… pic.twitter.com/qbjRbmDUYv
— Satya Mallick (@LearnOpenCV) 6 mai 2025

Fine-tuning large language models doesn’t have to be expensive or complex, and in this new blog post, we break down how Unsloth is making fine-tuning faster, lighter, and smarter. What’s Inside?
A complete walkthrough of the Unsloth framework
Detailed Answer to Why Do We

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6 May 2025
MASt3R-SLAM: Real-Time Dense SLAM System with Global Consistency

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@learnopencv

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22 April 2025 18h39

MASt3R‑SLAM is a truly plug and play real‑time dense SLAM system that leverages the rich two‑view 3D reconstruction priors of MASt3R to deliver globally consistent geometry and highly accurate camera poses.

By integrating novel matching, fusion, and optimization… pic.twitter.com/YECWe2aoDH
— Satya Mallick (@LearnOpenCV) 22 avril 2025

MASt3R‑SLAM is a truly plug and play real‑time dense SLAM system that leverages the rich two‑view 3D reconstruction priors of MASt3R to deliver globally consistent geometry and highly accurate camera poses. By integrating novel matching, fusion, and optimization

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22 April 2025
RF-DETR: Real-Time Object Detection with Transformer Models

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@learnopencv

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16 April 2025 16h20

🚀 Explore RF-DETR: Real-Time Object Detection

Enhance your object detection capabilities with RF-DETR, a sophisticated transformer-based model designed for high accuracy and efficient real-time performance.

In this comprehensive guide on LearnOpenCV, you will learn about:… pic.twitter.com/bIDsfBivRD
— Satya Mallick (@LearnOpenCV) 16 avril 2025

Explore RF-DETR: Real-Time Object Detection Enhance your object detection capabilities with RF-DETR, a sophisticated transformer-based model designed for high accuracy and efficient real-time performance. In this comprehensive guide on LearnOpenCV, you will learn about:

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16 April 2025
Fine-Tuning Gemma 3 VLM with QLoRA for LaTeX-OCR

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@learnopencv

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09 April 2025 15h43

📢Fine-Tuning Gemma 3 VLM using QLoRA for LaTeX-OCR Dataset

Fine-tuning Gemma-3 for Vision-Language Model (VLM) tasks offers an approach to enhancing multimodal capabilities, from image captioning to LaTeX equation generation. In this week’s article, we explore the fine-tuning… pic.twitter.com/dL89NsAdFj
— Satya Mallick (@LearnOpenCV) 9 avril 2025

Fine-Tuning Gemma 3 VLM using QLoRA for LaTeX-OCR Dataset Fine-tuning Gemma-3 for Vision-Language Model (VLM) tasks offers an approach to enhancing multimodal capabilities, from image captioning to LaTeX equation generation. In this week’s article, we explore the fine-tuning

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9 April 2025
YOLO11 Real-Time Object Detection on Raspberry Pi

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@learnopencv

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02 April 2025 21h25

📢 YOLO11 on Raspberry Pi
STOP relying on slow, expensive cloud AI! 🤯

Unlock Real-Time Vision on a Raspberry Pi with YOLO11! 🚀

Want to bring lightning-fast object detection to your projects without breaking the bank or needing a supercomputer? This blog post is your ultimate… pic.twitter.com/CjVDOerfPT
— Satya Mallick (@LearnOpenCV) 2 avril 2025

YOLO11 on Raspberry Pi
STOP relying on slow, expensive cloud AI! Unlock Real-Time Vision on a Raspberry Pi with YOLO11! Want to bring lightning-fast object detection to your projects without breaking the bank or needing a supercomputer? This blog post is your ultimate

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2 April 2025
OpenCV Imposes 25% Tariff on Products Starting April 2

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@learnopencv

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01 April 2025 17h52

OpenCV has been free for all freeloaders for the last 25 years! This is very unfair to OpenCV and it's maintainers. Starting tomorrow, April 2, we are imposing a 25% Tariff on all products that use OpenCV.

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1 April 2025
MatchAnything: Universal Cross-Modality Image Matching Framework

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@learnopencv

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31 March 2025 18h07

📢 MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

MatchAnything presents a powerful large-scale pretraining framework for universal image matching across modalities, enabling detector-free matchers (ROMA, ELoFTR) to handle unseen cross-modal… pic.twitter.com/1a6zbeRzWT
— Satya Mallick (@LearnOpenCV) 31 mars 2025

MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training MatchAnything presents a powerful large-scale pretraining framework for universal image matching across modalities, enabling detector-free matchers (ROMA, ELoFTR) to handle unseen cross-modal

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31 March 2025
MASt3R and MASt3R-SfM: 3D Image Matching and Reconstruction

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@learnopencv

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25 March 2025 16h00

🚀MASt3R and MASt3R-SfM Explanation and Results

MASt3R (Matching and Stereo 3D Reconstruction) approaches image matching as a 3D problem, leveraging dense correspondences and a deeper understanding of the 3D scene rather than relying on traditional 2D methods. This has led to a… pic.twitter.com/2tviz5UGTn
— Satya Mallick (@LearnOpenCV) 25 mars 2025

MASt3R and MASt3R-SfM Explanation and Results MASt3R (Matching and Stereo 3D Reconstruction) approaches image matching as a 3D problem, leveraging dense correspondences and a deeper understanding of the 3D scene rather than relying on traditional 2D methods. This has led to a

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25 March 2025
GraphRAG: Cost-Effective Document Analysis with Knowledge Graphs

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@learnopencv

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24 March 2025 18h47

🚀 GraphRAG: The Practical Guide for Cost-Effective Document Analysis with Knowledge Graphs

GraphRAG integrates structured Knowledge Graphs (KGs) with semantic chunks (vectors), enabling LLMs to reason over multi-hop connections for complex queries and connect the dots between… pic.twitter.com/KMMrSLbM2v
— Satya Mallick (@LearnOpenCV) 24 mars 2025

GraphRAG: The Practical Guide for Cost-Effective Document Analysis with Knowledge Graphs GraphRAG integrates structured Knowledge Graphs (KGs) with semantic chunks (vectors), enabling LLMs to reason over multi-hop connections for complex queries and connect the dots between

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24 March 2025
MatAnyone: Consistent Memory for Advanced Video Matting

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@learnopencv

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19 March 2025 15h48

MatAnyone Explained: Consistent Memory for Better Video Matting

Learn how MatAnyone is advancing video matting through consistent memory propagation and region-adaptive fusion.
Our blog post explains its robust training pipeline, improved dataset quality, and flexible inference… pic.twitter.com/j3w1cWECyS
— Satya Mallick (@LearnOpenCV) 19 mars 2025

MatAnyone Explained: Consistent Memory for Better Matting Learn how MatAnyone is advancing video matting through consistent memory propagation and region-adaptive fusion. Our blog post explains its robust training pipeline, improved dataset quality, and flexible inference

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19 March 2025

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