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📐MathematicsnLab·
topology (point-set topology, point-free topology) Read more ›
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Discover how deep tech startups are using venture debt to survive government delays and protect equity. Read the growth strategies here. Read more ›
Discussed on Hacker News
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🧠AIGitHub·
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.Awesome Artificial Intelligence A curated collection of must-use, actively maintained resources for building and shipping AI systems. Focus: AI engineering (RAG, agents, evals, guardrails, deploy) plus the best books, guides, papers, and a carefully selected set of tools. 📚 Learn Deep, durable knowledge — still valuable five years from now. Books Modern & Practical — Scalable, maintainable ML pipelines (C... Read more ›
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From pretraining to RLHF/GRPO — every algorithm hand-written in pure PyTorch. Read more ›
Discussed on Hacker News
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A study of the generative design system for the Bengal Classical Music Festival by Shafiq Alam, translating ragas into fragmented three-dimensional arts. The core of the composition relies on a three-... Read more ›
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A book introducing basic concepts from computational number theory and algebra, including all the necessary mathematical background. Read more ›
Discussed on Hacker News
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🧠AIubuntu.com·
I’ve yet to meet a developer that enjoys working with metered AI APIs. This blog introduces inference snaps to help you build apps with local llm inference. Read more ›
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Silicon Valley's equity-powered brand of capitalism is minting millionaires. Here's how techies are avoiding big tax bills when they cash out. Read more ›
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🤖MLkaggle.com·
Series — Fine-Tuning, Smallest to Largest: LoRA (1.5B) ← you are here In I fully fine-tuned a 270M model — updating every weight. That's fine for a tiny model. It gets painful as models grow, because full fine-tuning needs gradients and optimizer state for every parameter (~4× the model size in memory). So: what do you do when the model is too big to comfortably fine-tune all of? The idea behind LoRA LoRA (Low-Rank Adaptation) rests on one observation: the change fine-tuning makes to a weight... Read more ›
Discussed on DEV
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Figma users may have had account data or content used for AI training. Find out if you qualify for the Figma AI lawsuit investigation.... The post appeared first on . Read more ›
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Twisted quantum loop algebras are a generalization of twisted quantum affine algebras in Drinfeld new presentation. The Hall algebras of Geigle--Lenzing's weighted projective lines are used to realize (untwisted) quantum loop algebras of simply-laced type associated to star-shaped graphs by Schiffmann and Dou--Jiang--Xiao. In this paper, we use the semi-derived Ringel-Hall algebras of more general weighted projective lines to realize the twisted... Read more ›
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🧠AImedium.com
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A technical walkthrough of a production-patterned RAG pipeline built for security analytics — the design decisions, the evaluation… Read more ›
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How AI has changed the SaaS equation: what’s no longer valuable, and what remains Read more ›
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🤖MLmedium.com
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Backpropagation is a method by which ML models actually learn accuracy. With this a neural network learns which parameters contribute to… Read more ›
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Coding without design guidelines can leave teams with an inconsistent UI design and a complex feature development process. Here's how we built a design system for Currents that's readable by engineers and AI agents. Read more ›
Covered by tldr.tech
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Find the whole single variable calculus series here Read more ›
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A normal Large Language Model, or LLM, does not truly remember anything by itself. Every time you send a message, the model reads the… Read more ›
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📰Tech NewsThe Atlantic
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The vice president is making a case that is part Silicon Valley, part MAGA. Read more ›
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🤖MLmedium.com
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Forward hooks are the debugging tool PyTorch ships with — and most practitioners never find them Read more ›
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I do a lot of UI work, and like a lot of people lately I've been letting an AI agent take the first pass. Point it at a Figma file, let it write the components, come back to something that's 90% there. On a good day that's a huge time save. The problem is the other 10%, and where it hides. It's never an obvious break. It's the padding that's 12px instead of 16. A font weight that's 500 where the design says 600. A border radius that's a couple pixels off. A gradient that starts at the wrong s... Read more ›
Discussed on DEV
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