Category: software-development
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How I Built and Deployed an App in 2 days with Lovable, Supabase, and Netlify
How I Built and Deployed an App in 2 days with Lovable, Supabase, and Netlify All ideas can be turned into action in a matter of time now. The post How I Built and Deployed an App in 2 days with Lovable, Supabase, and Netlify appeared first on Towards Data Science. Soner Yıldırım Go to…
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An Existential Crisis of a Veteran Researcher in the Age of Generative AI
An Existential Crisis of a Veteran Researcher in the Age of Generative AI I was a researcher fifteen years ago. A PhD candidate doing Research for long days. I was swamped with many articles, annotations, emails, bookmarks, etc. When I found a citation manager tool, Mendeley, I felt so relaxed. It was like I had…
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Nine Rules for SIMD Acceleration of Your Rust Code (Part 1)
Nine Rules for SIMD Acceleration of Your Rust Code (Part 1) Thanks to Ben Lichtman (B3NNY) at the Seattle Rust Meetup for pointing me in the right direction on SIMD. SIMD (Single Instruction, Multiple Data) operations have been a feature of Intel/AMD and ARM CPUs since the early 2000s. These operations enable you to, for example,…
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Neural Networks – Intuitively and Exhaustively Explained
Neural Networks – Intuitively and Exhaustively Explained An in-depth exploration of the most fundamental architecture in modern AI “The Thinking Part” by Daniel Warfield using MidJourney. All images by the author unless otherwise specified. Article originally made available on Intuitively and Exhaustively Explained. In this article we’ll form a thorough understanding of the neural network,…
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Top 3 Questions to Ask in Near Real-Time Data Solutions
Top 3 Questions to Ask in Near Real-Time Data Solutions Questions that guide architectural decisions to balance functional requirements with non-functional ones, like latency and scalability Continue reading on Towards Data Science » Shawn Shi Go to original source
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Machine Learning: From 0 to Something
Machine Learning: From 0 to Something How I learned ML foundations to tackle a complex problem Continue reading on Towards Data Science » Ricardo Ribas Go to original source
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llama.cpp: Writing A Simple C++ Inference Program for GGUF LLM Models
llama.cpp: Writing A Simple C++ Inference Program for GGUF LLM Models Exploring llama.cpp internals and a basic chat program flow Photo by Mathew Schwartz on Unsplash llama.cpp has revolutionized the space of LLM inference by the means of wide adoption and simplicity. It has enabled enterprises and individual developers to deploy LLMs on devices ranging from SBCs…
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Encapsulation: A Software Engineering Concept Data Scientists Must Know To Succeed
Encapsulation: A Software Engineering Concept Data Scientists Must Know To Succeed Simple concepts that differentiate a professional from amateurs Continue reading on Towards Data Science » Benjamin Lee Go to original source
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GDD: Generative Driven Design
GDD: Generative Driven Design Reflective generative AI software components as a development paradigm Nowhere has the proliferation of generative AI tooling been more aggressive than in the world of software development. It began with GitHub Copilot’s supercharged autocomplete, then exploded into direct code-along integrated tools like Aider and Cursor that allow software engineers to dictate…
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Top 3 Strategies to Search Your Data
Top 3 Strategies to Search Your Data Strategies from traditional index seek to AI based semantic search that every software engineer should know! Continue reading on Towards Data Science » Shawn Shi Go to original source
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How to Stand Out as a Junior Data Scientist
How to Stand Out as a Junior Data Scientist 7 things you can do to show your skills even if you have no experience at all Continue reading on Towards Data Science » Idit Cohen Go to original source
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API Design of X (Twitter) Home Timeline
API Design of X (Twitter) Home Timeline How X (Twitter) Designed Its Home Timeline API: Lessons to Learn A closer look at X’s API: fetching data, linking entities, and solving under-fetching. When designing a system’s API, software engineers often evaluate various approaches, such as REST vs RPC vs GraphQL, or hybrid models, to determine the best…