Category: Machine Learning
Explore the world of Machine Learning (ML), where data and algorithms come together to create intelligent systems and predictive models. In this category, you’ll find articles, tutorials, and insights on ML techniques, advancements, and applications that are shaping the future of technology. And we’ll dive deep into Deep Learning (DL).
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Infrastructure Requirements for Powerful Deep Learning Models
As the demand for deep learning research intensifies, so does the need for a robust and scalable infrastructure. A well-structured infrastructure is pivotal for the seamless progression of deep learning projects—from initial experiments to full-scale deployments. This article delves into the key infrastructure components OpenAI deems necessary for building and scaling deep learning models effectively.…
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Weight Normalization To Accelerate Training Of Deep Neural Networks
This is based on the research paper by OpenAI here, and we shall use this research to hit two birds with one stone – explain WHAT neural networks are, and HOW they work. What Are Neural Networks? Neural networks are a type of machine learning model inspired by the human brain. Just as our brains…
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ChatGPT Demystified : How LLMs Became So Powerful
Over many upcoming articles, we at Lynoxo will be breaking down everything related to OpenAI’s chatgpt. From OpenAI Research to the training methods they used, the mathematics behind how it operates, and much more. Large Language Model (LLM) Foundation: ChatGPT is built on OpenAI’s GPT (Generative Pre-trained Transformer) architecture, specifically the GPT-3.5 and GPT-4 models.…
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CRM Integration to Streamline Data for Business Growth
In today’s data-driven world, customer data collection and analysis are pivotal for businesses of all sizes. Understanding your target market, refining marketing and sales strategies, and personalizing customer experiences are essential for sustained growth and success. However, as your business expands, managing this wealth of information can become increasingly complex and cumbersome. This is where…
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Professional, ironclad ML : from Supervised to Reinforcement
In the world of data science and AI, machine learning (ML) stands out as a pivotal technology. Understanding the various types of machine learning can help you leverage its capabilities to solve complex problems. This article will delve into the primary types of machine learning, offer practical examples, and provide code snippets to illustrate their…
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Hands-On Machine Learning with Scikit-Learn: A Practical Guide
In today’s data-driven world, machine learning has become an essential skill for professionals across various industries. Whether you’re a data scientist, software engineer, or simply a tech enthusiast, understanding how to implement machine learning models is crucial. Scikit-learn, a powerful Python library, offers an accessible way to get hands-on experience with machine learning. Why Scikit-Learn?…