Himanshu Singh Shekhawathimanshuailab.hashnode.dev·Oct 23, 2024The Transformer Revolution: Breaking Down the Encoder and DecoderTransformers have taken the AI world by storm, reshaping how we approach problems like language translation, text generation, and even image recognition. But at the heart of these advanced AI models lies a relatively simple yet powerful architecture ...Discuss#EncoderDecoder
Sai Chowdary GullapallyforML Radio - A Machine Learning Blogmlrad.io·Sep 14, 2024Research Vignette: Exploring LORAResearch Vignettes are short articles where I summarize the key ideas of a research paper in a simple and easy-to-follow manner. arxiv link for the paper Suggested Pre-Readings: To understand this paper, you need to be familiar with the concepts of v...Discussllm
Gift Ayodeledevgifttemitope.hashnode.dev·Sep 12, 2024What is Artificial Intelligence?Artificial Intelligence (AI) is a fascinating and rapidly evolving field of computer science that focuses on creating machines capable of performing tasks that typically require human intelligence. It’s about making machines "smart" enough to think, ...DiscussTechnologyExplained
Yashkumar Dubeyblogwithdubey.hashnode.dev·Sep 10, 2024Unlocking the Power of Retrieval-Augmented Generation (RAG): The Future of Intelligent Content GenerationIn the evolving world of AI, Retrieval-Augmented Generation (RAG) stands out as the best of two AI paradigms: retrieval-based models and generative models. It enhances the accuracy and relevance of content, taking it far beyond the limitations of tra...DiscussAI
CodingSplashcodingsplash.hashnode.dev·Jul 27, 2024How to determine the number of trainable parameters in a fully connected neural networkIntroduction In neural networks, the number of trainable parameters (also called weights) is an important hyper‐ parameter for several reasons. Designing a very deep/dense network (i.e. a high number of weighs) can help you learn more complex models ...DiscussDeep LearningDeepLearning
Sahil Madhyansahil-madhyan.hashnode.dev·Jan 6, 2024GANs 101: Unraveling the Wonders of Generative Adversarial Networks 🌌Motivation 🚀 In the vast landscape of artificial intelligence, GANs emerge as a solution to a crucial problem – the ability to learn from data without explicitly modelling it. Traditional methods demand labelled or unlabeled data for tasks like clas...DiscussDeepLearning
TurinforGDSC NIT Silchar Blogblog.gdscnits.in·Nov 10, 2023AlphaFold: Decoding Life's Enigma with AI and Deep LearningIn the ever-evolving realm of scientific breakthroughs, AlphaFold stands as a transformative force assured to unravel the mysteries of life itself. AlphaFold, with its incredible ability to predict protein structures, is reshaping our understanding o...Discuss·34 likes·70 readsAI
