Learning CUDA by optimizing matrix-vector multiplication for cuBLAS-like perf by rrampage

18 Jan, 2025 Matrix-vector multiplication is a foundational operation in linear algebra, where a matrix transforms an input vector into an output vector. This operation basically powers numerous fields including computer science and deep learning. Optimizing matrix-vector multiplication, especially in the context of GPU programming and CUDA can help us learn many new things. In

ByHackTechFebruary 21, 20250Comments

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Machine learning and 3D printing yield steel-strong, foam-light materials by wglb

This request seems a bit unusual, so we need to confirm that you’re human. Please press and hold the button until

ByHackTechJanuary 31, 20251Comment

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Learning Assembly Changed My Programming by signa11

Assembly code, https://stackoverflow.com/questions/62597760/assembly-jump-instruction-in-machine-code Learning Assembly changed my view about the world of programming. This enabled me to understand how a computer works easily. My main advance was regarding memory management. Personally, I had a lot of issues learning about pointers, it just didn’t make sense. But when learning assembly, it was like a snap to understand

ByHackTechJanuary 27, 20250Comments

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PM Learning to Code with Cursor by willemevers

PM Learning to Code with Cursor

ByHackTechJanuary 12, 20250Comments

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The Little Book of Deep Learning by Tomte

This book is a short introduction to deep learning for readers with a STEM background, originally designed to be read on a phone screen. This is the v1.2 updated on May 19th, 2024. It is distributed under a non-commercial Creative Commons license and was downloaded 600’000 times in a bit more than a year. Download

ByHackTechJanuary 11, 20250Comments

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Learning From Google SRE Team (part-2) by misoukrane

In our previous discussion, we covered the initial five lessons from the eleven lessons shared by Google’s Site Reliability Engineering (SRE) team, reflecting on their two decades of expertise.Today, we will explore the remaining six lessons from their post. Our aim is to expand upon each lesson, offering our insights and perspectives to enhance understanding.Additionally

ByHackTechNovember 10, 20230Comments

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GPT-Driver: Learning to Drive with GPT by belter

[Submitted on 2 Oct 2023] Download PDF Abstract:We present a simple yet effective approach that can transform the OpenAI GPT-3.5 model into a reliable motion planner for autonomous vehicles. Motion planning is a core challenge in autonomous driving, aiming to plan a driving trajectory that is safe and comfortable. Existing motion planners predominantly leverage heuristic

ByHackTechOctober 3, 20231Comment

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The myth of the myth of learning styles by asicsp

Saturday 23 September 2023 In “Advice to beginners” I said, “Learn how you learn,” and many people stepped up to tell me that learning styles are a myth. I know the research about learning styles, but people are over-applying it to dictate how people should learn.If you haven’t heard about the theory and its debunking

ByHackTechSeptember 24, 20230Comments

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Learning British Sign Language by saikatsg

In my years as a software engineer at the FT, the organisation has taken an increasingly proactive approach to improving its diversity and inclusivity, setting itself aspirational goals to advance the culture and broaden its representation of talent.As a hearing person, I was naively oblivious to all the invisible work that my Deaf software engineer

ByHackTechSeptember 17, 20230Comments

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How does in-context learning work? by gorenb

In this post, we provide a Bayesian inference framework for in-context learning in large language models like GPT-3 and show empirical evidence for our framework, highlighting the differences from traditional supervised learning. This blog post primarily draws from the theoretical framework for in-context learning from An Explanation of In-context Learning as Implicit Bayesian Inference 1

ByHackTechSeptember 17, 20230Comments

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