technology
database, distributed system, AI, quantum computing
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Maximizing Startup Potential with EKS-A: A Bare Metal Revolution
In the fast-paced world of startups, leveraging cutting-edge technology can be the key to success. One such technology that’s gaining traction is Amazon EKS Anywhere (EKS-A), a versatile solution that allows businesses to run Kubernetes clusters on-premises. This blog post explores how startups can benefit from EKS-A, particularly as a bare metal solution, and its Continue reading
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Understanding Backpropagation: A Comprehensive Guide to Neural Network Learning
Introduction Backpropagation is a fundamental algorithm in the training of neural networks, enabling these complex systems to learn from data and improve their performance over time. This guide aims to demystify the backpropagation process, explaining its core concepts and significance in machine learning. The Objective of Neural Networks The primary goal of a neural network Continue reading
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ML | About Lora adapters : An Efficient Approach to Fine-Tuning Language Models
Introduction Low-Rank Adaptation (LoRA) is an innovative technique in machine learning, particularly useful for fine-tuning large language models. This post will explore how LoRA adapters work, why they’re efficient, and their practical applications in model adaptation. What are LoRA Adapters? LoRA adapters are a method to efficiently fine-tune large neural networks with significantly fewer parameters. Continue reading
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Kahn’s Algorithm for Topological Sorting: A Comprehensive Guide
Topological sorting is a fundamental algorithm in computer science, particularly useful for scheduling tasks, resolving dependencies, and analyzing graphs. While there are multiple approaches to topological sorting, Kahn’s Algorithm stands out for its intuitive nature and efficiency. In this article, we’ll dive deep into Kahn’s Algorithm, understand how it works, and explore implementation tips to Continue reading
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Understanding Topological Sort in Python
Topological sort is a fundamental algorithm in computer science, particularly useful in dependency resolution, task scheduling, and build systems. In this post, we’ll explore what topological sort is, how it works, and how to implement it in Python using both a custom approach and built-in libraries. What is Topological Sort? Topological sort is an algorithm Continue reading
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Understanding Self-Attention Mechanism in AI: A Deep Dive with PyTorch
In the world of artificial intelligence and deep learning, the self-attention mechanism has revolutionized how we process sequential data, particularly in natural language processing tasks. This blog post will explore the self-attention mechanism, implement it using PyTorch, and discuss its applications and benefits 📘 What is Self-Attention? Self-attention, also known as intra-attention, is a mechanism Continue reading
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Database Concurrency Levels: The Balancing Act of Data Integrity and Performance
Imagine you’re a chef in a bustling restaurant kitchen. Your team is working on multiple dishes simultaneously, each requiring access to shared ingredients and utensils. How do you ensure that everyone can work efficiently without creating chaos or compromising the quality of the meals? This is the culinary equivalent of database concurrency control – a Continue reading
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FLOAT32, FLOAT16, AND BFLOAT16: PRECISION’S ROLE IN DEEP LEARNING
(continued from previous section) 🟧 Impact on Deep Learning Processes The choice of floating-point format significantly affects various aspects of deep learning, including training speed, memory usage, and computational accuracy. Let’s explore these impacts in detail. Training Speed The precision format directly influences the speed of neural network training: Many deep learning frameworks now support Continue reading
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Float32, Float16, and BFloat16: Precision’s Role in Deep Learning
Introduction: The Importance of Numerical Precision In the world of deep learning, the way numbers are represented can have a significant impact on model performance, training speed, and hardware requirements. At the heart of this lies floating-point arithmetic, a method computers use to handle real numbers with finite precision. Three floating-point formats have become particularly Continue reading
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gRPC | Quantum Leaps in Secure Microservice Communication
✱ All the quantum terms are used as methaphor, not actual quantum communication will actually use any of these protocols. however, quantum computing is another subject to tell later In the vast multiverse of distributed systems, where microservices dance like subatomic particles, a powerful force emerges to bring order to the chaos: gRPC. Much like Continue reading
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