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Introducing OWLv2: Google’s Breakthrough in Zero-Shot Object Detection
Learn OWLv2 model’s behavior and architecture and see a practical approach to how to run inference for zero shot object detection.
Mobarak Inuwa 04 Jun, 2025
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Explainable AI: Demystifying the Black Box Models
Understand the importance and applications of Explainable AI (XAI) and learn the various approaches to demystify black box models.
Guest Blog 05 Jun, 2025
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How to Build a Multi-Modal Search App with Chroma?
In this article, you will learn how to use the Chroma vector database and a multi-modal CLIP model to build a basic search app.
Sunil Kumar 17 Nov, 2023
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Unlocking The Power of Activation Functions in Neural Networks
Unlock the Power of Neural Networks with Activation Functions: From Sigmoid to ReLU, Explore Their Roles and Impact on Training.
suyodhanj 17 Oct, 2023
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Monk’s Disease Detective: Guide to AI-Powered Plant Health
Explore Monk's powerful ML library for plant disease classification. Learn to harness AI to protect crops and ensure food security.
suyodhanj 17 Nov, 2023
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10 Ways to Use Generative AI for Database
Generative AI is taking the world by storm and revolutionizing databases. Here are 10 ways to use GenAI for creating and managing databases.
K.C. Sabreena Basheer 03 Feb, 2025
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Satellite Image Classification Using Vision Transformers
Explore the power of Vision Transformers in satellite image classification, with a dataset mirroring real-world challenges and applications.
shruti 03 Oct, 2023
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What is Adam Optimizer?
What is Adam Optimizer? Explore its defination, working, key components, working with code implementation, challenges and best practices.
Neha Vishwakarma 23 Apr, 2025
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Employee Attrition Rate Prediction Using ZenML and Streamlit
In this article, you will learn how to predict employee attrition rate using ZenML and Streamlit and integration with other ML tools.
Vishal Kumar. S 10 Jun, 2025
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Leveraging Generative Models to Boost Semi-Supervised Learning
Explore a game-changing strategy: leveraging generative models, Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs).
Guvvala Sujitha (BEE) 08 Sep, 2023
