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MTS, GenAI Developer @ Mindstix | SDE-1 | LangChain | RAG Architecture | Prompt Engineering | GCP | PICT'21
Delighted to share my article - "Enterprise Reverse Image Search - Zero-shot Image Classification as a Building Block" Link: https://lnkd.in/dfTghDA8 Co-authored with Pratiksha Wagh and Ambikeshwar Singh. Thanks to Saloni Luktuke, Deeplaxmi Patil and Shreyas Kulkarni for their input and help. In this article, we delve deep into the landscape of reverse image search in the world of Generative AI, explore the foundations of zero-shot classification, and showcase how it can be a pivotal building block for robust image search systems. Key Topics Include: The Landscape of Reverse Image Search 🌄 Reverse Image Search — A Quick Refresh! 🔄 Foundation of Reverse Image Search🧱 Zero-Shot Image Classification 🎯 Zero-shot with LLMs 🧠 Image-to-image Similarity in Vector Space: An Idea 🔄🔍 What is Vector Space? CLIP: Where Language Meets Vision💬👀 Adapting Transformer to Vision Transformers 🔄🔧 How do Vision Transformers Work?🔄🔧 Where It All Started? 🌱 Achieve Zero-shot Image Classification with CLIP🚀🎯 A 5-Step Dive into How it Works?📋🚶♂️ Don't miss out on this thought-provoking piece! Dive into the realm of CLIP, where language meets vision, and discover how Zero-Shot Image Classification is reshaping the future of Enterprise Reverse Image Search. #generativeai #enterpriseai #computervision #llms #clip #imageclassification #reversesearch #techblog #openai #openaiproducts #ai #artificialintelligence #artificialintelligenceforbusiness #aiforbusiness
Full Stack Developer | GenAl Dev | MTS @ Mindstix Software Labs
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