๐ Lawliet ๐ ๐ต๐ธ
@evilzeda
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demand driven scientist | pipeline engineer | #KaburAjaDulu
Laugh Tale
Joined June 2016
Grok, read and analyze all of my tweets @grok Name : Gender : Age : Achievements : Hobbies : Occupation : Future : 10 favorite things : 10 disliked things : Most liked persona in X: Most hated persona in X:
Grok, read and analyze all of my tweets @grok Name : Gender : Age : Achievements : Hobbies : Occupation : Future : 10 favorite things : 10 disliked things : Most liked persona in X: Most hated persona in X:
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Navier-Stokes Equations are fundamental in fluid dynamics and describe the flow of incompressible fluids. The equation is broken down into its constituent parts and their physical meanings.
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when a mother says hell sounds better than this country, you know somethingโs seriously wrong. people arenโt just tired, theyโre broken. the economy is killing people. and the ones holding the knife? a lot of them are sitting comfortably in government offices.
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This blog page is the best place to learn everything about Diffusion. Like the very essence of it!!
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๐จ๐ณ A Chinese University just dropped a landmark computer science achievement. Fastest shortest paths algorithm in 40 years, beating the famous Dijkstra plus Tarjan `n log n` limit by avoiding global sorting and working through a small set of pivot nodes. The paper shows a
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This is the best public resource on scaling hardware for AI, and its free. "How to Scale Your Model" is the bible from Google DeepMind that covers the math, systems and scaling laws for LLM training and inference workloads. Approachable yet thorough. Absolute Must-read.
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๐Introducing Hierarchical Reasoning Model๐ง ๐ค Inspired by brain's hierarchical processing, HRM delivers unprecedented reasoning power on complex tasks like ARC-AGI and expert-level Sudoku using just 1k examples, no pretraining or CoT! Unlock next AI breakthrough with
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Kimi K2 paper dropped! describes: - MuonClip optimizer - large-scale agentic data synthesis pipeline that systematically generates tool-use demonstrations via simulated and real-world environments - an RL framework that combines RLVR with a self- critique rubric reward mechanism
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Lagrangians are often used in physics for deriving the energy of mechanical systems. But are they useful for neural networks and AI? It turns out they are extremely helpful for working with energy-based models and energy-based Associative Memories. You need to specify a
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Advanced Data Analysis - Book Wonderful 903 pages textbook , covering data analysis methods, probability, statistics, and linear regression. Freely available pdf copy ๐๐
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Introducing Eleven v3 (alpha) - the most expressive Text to Speech model ever. Supporting 70+ languages, multi-speaker dialogue, and audio tags such as [excited], [sighs], [laughing], and [whispers]. Now in public alpha and 80% off in June.
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