Top 5 Small AI Coding Models That You Can Run Locally
This article is for vibe coders and developers seeking private, fast, and affordable AI coding solutions.
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7 Pandas Performance Tricks Every Data Scientist Should Know
What I’ve learned about making Pandas faster after too many slow notebooks and frozen sessions The post 7 Pandas Performance Tricks Every Data Scientist Should Know appeared first on Towards Data Science.
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Reading Research Papers in the Age of LLMs
How I keep up with papers with a mix of manual and AI-assisted reading The post Reading Research Papers in the Age of LLMs appeared first on Towards Data Science.
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A Coding Implementation of a Complete Hierarchical Bayesian Regression Workflow in NumPyro Using JAX-Powered Inference and Posterior Predictive Analysis
In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a probabilistic model that captures both global patterns and group-level variations. Through each snippet, we set up inference using NUTS, analyze posterior distributions, and perform posterior predictive checks to understand how well our model captures the underlying structure. By approaching the tutorial step by step, we build an intuitive […]
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Pebble’s founder introduces a $75 AI smart ring for recording brief notes with a press of a button
After rebooting the Pebble smartwatch, founder Eric Migicovsky is expanding his company’s device lineup with a new smart wearable: an AI-powered smart ring known as Index 01. Named for the finger where the ring is meant to be worn, the new $75 ring is not meant to be a competitor to the always-on, always-listening AI devices, like the AI pendant Friend, but instead offers a way to record quick notes and reminders with a press of a button […]
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Something wonderful just happened with Qualified Immunity
It’s also a call to action The post Something wonderful just happened with Qualified Immunity appeared first on Downsize DC.
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✋ Get A Warrant | EFFector 37.17
Even with the holidays coming up, the digital rights news doesn’t stop. Thankfully, EFF is here to keep you up-to-date with our EFFector newsletter! In our latest issue, we’re explaining why politicians latest attempts to ban VPNs is a terrible idea; asking supporters to file public comments opposing new rules that would make bad patents untouchable; and sharing a privacy victory—Sacramento is forced to end its dragnet surveillance program of power meter data. Prefer to listen in? Check out our audio companion, where […]
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The Myth of Cloud Resilience in the Age of Intelligence – SPONSOR CONTENT FROM RELTIO
Sponsor content from Reltio.
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How to Maximize Agentic Memory for Continual Learning
Learn how to become an effective engineer with continual learning LLMs The post How to Maximize Agentic Memory for Continual Learning appeared first on Towards Data Science.
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How to design LLMs that don’t need prompt engineering
Standard LLMs rely on prompt engineering to fix problems (hallucinations, poor response, missing information) that come from issues in the backend architecture. If the backend (corpus processing) is properly built from the ground up, it is possible to offer a full, comprehensive answer to a meaningful prompt, without the need for multiple prompts, rewording your query, having to go through a chat session, or prompt engineering. In this article, I explain how to do it, focusing on enterprise […]
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