Time Series and Trend Analysis Challenge Inspired by Real World Datasets
See how different time series methods reveal the shifts, surges, and stabilization in inflation expectations.
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Apple Researchers Release CLaRa: A Continuous Latent Reasoning Framework for Compression‑Native RAG with 16x–128x Semantic Document Compression
How do you keep RAG systems accurate and efficient when every query tries to stuff thousands of tokens into the context window and the retriever and generator are still optimized as 2 separate, disconnected systems? A team of researchers from Apple and University of Edinburgh released CLaRa, Continuous Latent Reasoning, (CLaRa-7B-Base, CLaRa-7B-Instruct and CLaRa-7B-E2E) a retrieval augmented generation framework that compresses documents into continuous memory tokens and then performs both retrieval and generation in that shared latent space. […]
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Amazon’s Ring rolls out controversial, AI-powered facial-recognition feature to video doorbells
The feature lets you identify the people who regularly come to your door by creating a catalog of up to 50 faces. The company says the Ring feature is opt in and the biometric data isn’t used to train AI models.
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Lewis and Tolkien’s War Against Grimdark
If poetic serendipity is the language of the Holy Spirit, then perhaps nowhere is it more evident than in friendship. Friendship requires our cooperation, yes. We must choose it, and choose to remain in it. Continue Reading…
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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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The Rise of Specialized LLMs for Enterprise
In this article, I discuss the main problems of standard LLMs (OpenAI and the likes), and how the new generation of LLMs addresses these issues. The focus is on Enterprise LLMs. LLMs with Billions of Parameters Most of the LLMs still fall in that category. The first ones (ChatGPT) appeared around 2022, though Bert is an early precursor. Most recent books discussing LLMs still define them as transformer architecture with deep neural networks (DNNs), costly training, and reliance […]
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Simpler models can outperform deep learning at climate prediction
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger models are not always better. The team demonstrates that, in certain climate scenarios, much simpler, physics-based models can generate more accurate predictions than state-of-the-art deep-learning models. Their analysis also reveals that a benchmarking technique commonly used to evaluate machine-learning techniques for climate predictions can be distorted by natural variations in […]
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Mistral AI surfs vibe coding tailwinds with new coding models
French AI startup Mistral today launched Devstral 2, a new generation of its AI model designed for coding, as the company seeks to catch up to bigger AI labs like Anthropic and other coding-focused LLMs.
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Statistics at the Command Line for Beginner Data Scientists
You don’t need Python or R to start working with data. This guide walks you through using built-in Unix utilities for real statistical analysis.
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