B Capital founding partner Kabir Narang leaves to launch new investment platform
Kabir Narang is laying the groundwork for a new investment platform slated for 2026.
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Coreweave CEO defends AI circular deals as ‘working together’
The CEO of the AI data center provider, which has Nvidia as an investor and a supplier, described the environment as a “violent change” in demand.
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If you had to express why you’re an Anarchist in 1 (short) paragraph what would you say.
Please post below I want to read what people have to say. submitted by /u/mapsandwrestling [link] [comments]
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FACTS Benchmark Suite: Systematically evaluating the factuality of large language models
Systematically evaluating the factuality of large language models with the FACTS Benchmark Suite.
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The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor
Cursor is great at writing code but not as good when it comes to design The post The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor appeared first on Towards Data Science.
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The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel
Ridge and Lasso regression are often perceived as more complex versions of linear regression. In reality, the prediction model remains exactly the same. What changes is the training objective. By adding a penalty on the coefficients, regularization forces the model to choose more stable solutions, especially when features are correlated. Implementing Ridge and Lasso step by step in Excel makes this idea explicit: regularization does not add complexity, it adds preference. The post The Machine Learning “Advent Calendar” […]
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Masked agents chased the wrong woman and DHS says the system worked
submitted by /u/eaglemaxie [link] [comments]
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When AI and Secure Chat Meet, Users Deserve Strong Controls Over How They Interact
Both Google and Apple are cramming new AI features into their phones and other devices, and neither company has offered clear ways to control which apps those AI systems can access. Recent issues around WhatsApp on both Android and iPhone demonstrate how these interactions can go sideways, risking revealing chat conversations beyond what you intend. Users deserve better controls and clearer documentation around what these AI features can access. After diving into how Google Gemini and Apple Intelligence […]
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Optimizing PyTorch Model Inference on AWS Graviton
Tips for accelerating AI/ML on CPU — Part 2 The post Optimizing PyTorch Model Inference on AWS Graviton 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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