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YouTube • 1y
Researchers at Google DeepMind introduced Semantica, an image-conditioned diffusion model capable of generating images based on the semantics of a conditioning image. The paper explores adapting image generative models to different datasets. Instead of finetuning each model, which is impractical for large-scale models, Semantica uses in-context learning. It is trained on web-scale image pairs, where one random image from a webpage is used to condition the generation of another image from the same page, assuming these images share semantic traits
Hey I am on Medial • 7m
🚀 Hiring for Generative AI Engineer (Remote) 🚀 AI-based SaaS company in the health sector seeks Generative AI Engineer. Requirements: - 1-3 years of experience in Generative AI - Expertise in LLMs and Diffusion Models - Strong foundation in compu
See MoreBuilding products, l... • 1m
Google Unveils AI Edge Gallery: On-Device Generative AI Without Internet Google has launched the AI Edge Gallery, an experimental app that brings cutting-edge Generative AI models directly to your Android device. Once a model is downloaded, all proc
See MoreSoftware Engineer | ... • 7m
💡 5 Things You Need to Master for learn for integrating AI into your project 1️⃣ Retrieval-Augmented Generation (RAG): Combine search with AI for precise and context-aware outputs. 2️⃣ Vector Databases: Learn how to store and query embeddings for e
See MoreBuilding Bharat • 1y
AI solution for marketers and product sellers! Building a webapp for you to just upload product image, and input a prompt and voila!!! You can get studio quality images instantly in any orientation and style possible. Will this work better in subsc
See MoreAI Deep Explorer | f... • 3m
Top 10 AI Research Papers Since 2015 🧠 1. Attention Is All You Need (Vaswani et al., 2017) Impact: Introduced the Transformer architecture, revolutionizing natural language processing (NLP). Key contribution: Attention mechanism, enabling models
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