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@mohammed-fahd-abrah

Mohammed Fahd Abrah

@mohammed-fahd-abrah·Kuala Lumpur, Malaysia·Joined April 2026

Building knowledge, sharing impact through code and AI.

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Data Scientist- AI Engineer - Machine Learning and Deep Learning Engineer

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Mohammed Fahd Abrah's blogs

freeCodeCamp Englishfreecodecamp.org/news11 posts

About

Data Scientist- AI Engineer - Machine Learning and Deep Learning Engineer

Available for

Nothing here yet.

Mohammed Fahd Abrah's blogs

freeCodeCamp Englishfreecodecamp.org/news11 posts

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Recently published

MFMohammed Fahd Abrahinfreecodecamp.org·Aug 12 · 37 min read

AI Paper Review: Generative Modeling by Estimating Gradients of the Data Distribution

Today, diffusion models have become one of the most influential families of generative AI systems. They power applications ranging from image synthesis and editing to video generation, scientific disc

MFMohammed Fahd Abrahinfreecodecamp.org·Jul 21 · 28 min read

"Relaxation and its Role in Vision": The 1977 PhD Thesis That Helped Shape Modern AI Research

When people think of Geoffrey Hinton, they usually think of backpropagation, Boltzmann Machines, Deep Belief Networks, or the deep learning revolution that transformed artificial intelligence. But few

MFMohammed Fahd Abrahinfreecodecamp.org·Jul 15 · 30 min read

AI Paper Review: Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Today, diffusion models power some of the most impressive AI systems ever built. They generate photorealistic images, create videos, synthesize speech, design proteins, and increasingly influence fiel

MFMohammed Fahd Abrahinfreecodecamp.org·Jul 8 · 27 min read

AI Paper Review: Self-Consistency Improves Chain of Thought Reasoning in Language Models

When Chain-of-Thought Prompting was introduced, it showed that large language models could solve many difficult reasoning problems simply by thinking step by step before producing an answer. It was a

MFMohammed Fahd Abrahinfreecodecamp.org·Jun 15 · 28 min read

AI Paper Review: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

For the last few years, Large Language Models have been impressing researchers with their ability to generate text, answer questions, translate languages, and perform tasks they had never been explici