OLMo 2: A Revolutionary Open Language Model
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Ethics and Fairness in Machine Learning
Introduction AI has significantly transformed various sectors, from healthcare and finance to transportation and law enforcement. However, as machine learning
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Weight Tying In Transformers: Learning With Shared Weights
Central to the transformer architecture is its capacity for handling large datasets and its attention mechanisms, allowing for contextualized representation
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A quick guide to Generative Adversarial Networks (GANs)
Generative Adversarial Networks (GANs) represent one of the most compelling advancements in ML. They hold the promise of generating high-quality
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Predictive vs. Generative Models: A Quick Guide
In ML, predictive and generative models are two fundamental approaches to building ML models. While both have their unique strengths
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From Tokens To Vectors: Demystifying LLM Embedding For Contextual Understanding
The embedding layer in LLM is a critical component that maps discrete input tokens (words, subwords, or characters) into continuous
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Attention Mechanism: The Heart of Transformers
Transformers have revolutionized the field of NLP. Central to their success is the attention mechanism, which has significantly improved how
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Optimization Techniques in Neural Networks: A Comprehensive Guide
Neural networks have revolutionized various fields, from image and speech recognition to natural language processing. The primary goal of training
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An In-Depth Exploration of Loss Functions
The loss function quantifies the difference between the predicted output by the model and the actual output (or label) in
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Activation Functions: The Key to Powerful Neural Networks
Neural networks are inspired by the human brain, where neurons communicate through synapses. Just as biological neurons are activated when
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SmolLM2: Revolutionizing LLMs For Edge
SmolLM2 is a family of compact language models, available in three sizes: 135M, 360M, and 1.7B parameters. These models are
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Exploring the Power of Qwen: Alibaba’s Advanced Language Models
Qwen2.5 marks a significant milestone in the evolution of open-source language models, building upon the foundation established by its predecessor,
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