10 GitHub Repositories to Master Machine Learning Deployment
Master the essential skill of deploying machine learning models with courses, projects, examples, resources, and interview questions.
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New method improves the reliability of statistical estimations
Let’s say an environmental scientist is studying whether exposure to air pollution is associated with lower birth weights in a particular county. They might train a machine-learning model to estimate the magnitude of this association, since machine-learning methods are especially good at learning complex relationships. Standard machine-learning methods excel at making predictions and sometimes provide uncertainties, like confidence intervals, for these predictions. However, they generally don’t provide estimates or confidence intervals when determining whether two variables are related. […]
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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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Prompt Engineering for Outlier Detection
Learn how to detect outliers by doing a real-life data project and improve the process with AI.
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Last Week in AI: OpenAI ‘Code Red’, Anthropic’s $15B Deal, Claude 4.5, Gemini 3, Mistral Models (Nov 24–30, 2025)
Author(s): AIversity Originally published on Towards AI. Your weekly AI roundup: Big funding, new models, AWS agent launches, Tesla’s AI5 chip, EU AI Act updates, and what it means for builders and businesses. Keep reading for links, benchmarks, and takeaway This article is 100% free to read! Non-members can read for free by clicking “MY FRIEND LINK” here! Image by AuthorThis article discusses the significant developments in the AI space from the past week, highlighting major funding events, […]
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Where Speed Meets Strategy
An HBR Executive exclusive Q&A with Zak Brown, CEO of McLaren Racing.
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Checking the quality of materials just got easier with a new AI tool
Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new materials and the verification of their quality. Artificial intelligence is helping with the former, with tools that comb through catalogs of materials to quickly tag promising candidates. But once a material is made, verifying its quality still involves scanning it with specialized instruments to validate its performance — an expensive and time-consuming step that can hold up the development and distribution of new […]
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Rage Against the Machine. Or Don’t.
It’s unusual to be in the situation of reviewing a book no one will like. I don’t mean that literally; a handful of people will appreciate Paul Kingsnorth’s new book, Against the Machine, probably the same people who have followed his work for the past decade. Continue Reading…
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Use Circle to Search and Google Lens to spot scam messages.
You can now use Circle to Search and Google Lens to detect scammy messages you receive on your phone.
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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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