Guaranteeing U.S. Funding To Israel For 20 Years? – Ron Paul Liberty Report
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Google’s AI try-on feature for clothes now works with just a selfie
In the past, users had to upload a full-body picture of themselves to virtually try on a piece of clothing. Now, they can use a selfie and Nano Banana will generate a full body digital version of them.
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Was the Big Unread Bill a poison pill?
Will it destroy federal legitimacy The post Was the Big Unread Bill a poison pill? appeared first on Downsize DC.
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Develop a deeper understanding with interactive images in Gemini.
Learning science consistently shows us that true learning requires active engagement. This is fundamental to how Gemini helps you learn. Going beyond simple text and sta…
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New control system teaches soft robots the art of staying safe
Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it lifts the object. Unlike traditional rigid robots that generally aim to avoid contact with the environment as much as possible and stay far away from humans for safety reasons, this arm senses subtle forces, stretching and flexing in ways that mimic more of the compliance of a human hand. Its every motion is calculated to […]
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I Built a Tool That Turns 1-Hour YouTube Tutorials into 2-Minute “Code-Only” Memos
Author(s): Manash Pratim Originally published on Towards AI. Stop watching 20 minutes of “Hey guys, welcome back!” just to find one function. I have a confession. Image generated using AIThe article discusses the author’s development of a tool that efficiently extracts code from YouTube coding tutorials by utilizing the hidden transcripts that accompany the videos. The author details the motivation behind creating this tool, the technical stack used, and provides an overview of its efficacy, demonstrating significant time […]
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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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Researchers discover a shortcoming that makes LLMs less reliable
Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study. Rather than answering a query based on domain knowledge, an LLM could respond by leveraging grammatical patterns it learned during training. This can cause a model to fail unexpectedly when deployed on new tasks. The researchers found that models can mistakenly link certain sentence patterns to specific topics, so an LLM might give a convincing answer by recognizing familiar phrasing instead of understanding the […]
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A smarter way for large language models to think about hard problems
To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions. But common approaches that give LLMs this capability set a fixed computational budget for every problem, regardless of how complex it is. This means the LLM might waste computational resources on simpler questions or be unable to tackle intricate problems that require more reasoning. To address this, MIT researchers developed a smarter way to allocate […]
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