Mahmoud Hamed Namnamarabic-tokenization.hashnode.dev·Dec 22, 2024Arabic Language Tokenization Explained: Key Concepts and MethodsIntroduction Tokenization is one of the first steps in Natural Language Processing (NLP), where text is divided into smaller units known as tokens. These units can be words, sentences, or even characters. Tokenization is essential for text analysis, ...4 likes·85 readsfarasa
S.S.S DHYUTHIDHARsudheendra.hashnode.dev·Dec 20, 2024Neural Networks Basics: Vector Functions and Math Behind AIHi everyone! 👋 I’m Dhyuthidhar Saraswathula, a passionate blogger exploring data science topics like ML and SQL. If you haven’t checked out my previous blogs, I highly recommend visiting my profile. Take a quick look, and then come back here for tod...1 likeMachine Learning
Rohit Paulrohitpaulscodism.hashnode.dev·Dec 20, 2024Optimizers in Deep LearningOptimizers play a crucial role in the training process of deep learning models. They are algorithms or methods used to adjust the parameters of a neural network, such as weights and biases, to minimize the loss function. This article delves into the ...26 readsDeep Learning
Jithu Josephjithu-joseph.hashnode.dev·Dec 20, 2024Navigating the Deepfake DilemmaWhat Are Deepfakes?Deepfakes are highly realistic but fake media - videos, images, or audio created using AI. By analyzing large amounts of real-world data, AI algorithms can mimic a person’s appearance, voice, and mannerisms so convincingly that it ...Security
Pronod Bharatiyadata-intelligence.hashnode.dev·Dec 16, 2024Understanding AI Agents and Agentic AI: A Comprehensive GuideIntroduction Artificial Intelligence (AI) continues to revolutionize the way we live and work, providing transformative tools that range from basic automation to highly autonomous systems capable of navigating complex and dynamic environments. Centra...3 likes·35 readsAI Agents and Agentic AIautonomous systems
celiyepower-of-the-future.hashnode.dev·Dec 15, 2024One Method to Solve Challenges in Image Recognition Development for Claude-3-HaikuAs a former developer of Claude-3-Haiku, I’m eager to share my insights into the challenges we faced during image recognition development, particularly focusing on training complex neural networks. This article will explore the training process in de...GPU, NVIDIA, AMD
Pronod Bharatiyadata-intelligence.hashnode.dev·Dec 13, 2024Understanding IID: The Backbone of Machine Learning and Deep Learning AlgorithmsIntroduction In the ever-evolving landscapes of machine learning (ML) and deep learning (DL), one fundamental assumption acts as a cornerstone: the notion that data is Independent and Identically Distributed (IID). This assumption isn't just a techni...IID vs Non-IID Data in Machine Learning and Deep LearningIID in Machine Learning
David Adenusidavidmide02.hashnode.dev·Dec 13, 2024Serverless and Deep learningIn recent years, two technological trends have gained significant traction in the world of software development and artificial intelligence: serverless computing and deep learning. These innovations address distinct challenges in their respective dom...serverless
RJ Honickylearning-exhaust.hashnode.dev·Dec 13, 2024One thing I learned: weight streaming probably works well on GPUsSarah Chieng from Cerebras joined paper club last week to present Training Giant Neural Networks Using Weight Streaming on Cerebras Wafer-Scale Clusters. If you’re not familiar with Cerebras, they make dinner-plates wafer-scale chips designed for AI ...89 readsDeep Learning
偉利wellyseo.hashnode.dev·Dec 12, 2024深度學習：人工智慧的核心推動力深度學習（Deep Learning）是人工智慧（AI）中最具影響力的技術之一，它模仿人腦的運作原理，通過層層疊加的神經網路來處理數據，已成為推動科技變革的關鍵力量。本文將帶你深入了解深度學習的基本概念、運作原理及其在各領域的應用。 什麼是深度學習？ 深度學習是機器學習的一種進階形式，通過多層神經網路從數據中學習並提取特徵。與傳統機器學習不同，深度學習不需要人工設計特徵，而是依靠數據自動學習。這種能力使深度學習成為解決複雜問題的理想選擇。 例如，在圖像識別任務中，傳統機器學習需要設計邊緣、顏色...Deep Learning
