Drawing Shapes with the Python Turtle Module
A step-by-step tutorial that explores the Python Turtle Module The post Drawing Shapes with the Python Turtle Module appeared first on Towards Data Science.
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Enabling small language models to solve complex reasoning tasks
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that human-like reasoning is around the corner. In reality, they still trail us by a wide margin on complex tasks. Try playing Sudoku with one, for instance, where you fill in numbers one through nine in such a way that each appears only once across the columns, rows, and sections of a nine-by-nine grid. Your AI opponent will either fail […]
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Video: the LLM 2.0 Revolution
What if you could build a secure, scalable RAG+LLM system – no GPU, no latency, no hallucinations? In this session, Vincent Granville shares how to engineer high-performance, agentic multi-LLMs from scratch using Python. Learn how to rethink everything from token chunking to sub-LLM selection to create AI systems that are explainable, efficient, and designed for enterprise-scale applications. What you’ll learn: How to build LLM systems without deep neural nets or GPUs Real-time fine-tuning, self-tuning, and context-aware retrieval Best […]
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What protects individual property/public safety rights in a system of anarcho-capitalism?
Genuinely curious, what stops roving gangs from taking over communities and driving folks from their homes with no government or public safety force of any kind? submitted by /u/personofinterest1986 [link] [comments]
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BNY builds “AI for everyone, everywhere” with OpenAI
BNY is using OpenAI technology to expand AI adoption enterprise-wide. Through its Eliza platform, 20,000+ employees are building AI agents that enhance efficiency and improve client outcomes.
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Top 5 Agentic AI LLM Models
In 2025, “using AI” no longer just means chatting with a model, and you’ve probably already noticed that shift yourself.
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New algorithms enable efficient machine learning with symmetric data
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science parlance, the molecule is “symmetric,” meaning the fundamental structure of that molecule remains the same if it undergoes certain transformations, like rotation. If a drug discovery model doesn’t understand symmetry, it could make inaccurate predictions about molecular properties. But despite some empirical […]
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Is there an Epstein connection to our Downsize strategy?
Thomas Massie shows the way The post Is there an Epstein connection to our Downsize strategy? appeared first on Downsize DC.
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4 ways to refine your content in Flow
You’ll now get more creative control in Flow with new refinement and editing capabilities.
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Three in ten U.S. teens use AI chatbots every day, but safety concerns are growing
While teenagers may start out using AI chatbots for basic questions, their relationship with chatbot platforms has the potential to turn addictive.
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