Isambard-AI, the UK’s Most Powerful AI Supercomputer, Goes Live
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RAG Text Chunking Strategies: Optimize LLM Knowledge Access
Author(s): Abinaya Subramaniam Originally published on Towards AI. If retrieval is the search engine of your RAG system, chunking is the foundation the search engine stands on. Even the strongest LLM fails when the chunks are too long, too short, noisy, or cut at the wrong place. That is why practitioners often say: “Chunking determines 70% of RAG quality.” Good chunking helps the retriever find information that is complete, contextual, and relevant while bad chunking creates fragmented, out […]
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Understanding the nuances of human-like intelligence
What can we learn about human intelligence by studying how machines “think?” Can we better understand ourselves if we better understand the artificial intelligence systems that are becoming a more significant part of our everyday lives? These questions may be deeply philosophical, but for Phillip Isola, finding the answers is as much about computation as it is about cogitation. Isola, the newly tenured associate professor in the Department of Electrical Engineering and Computer Science (EECS), studies the fundamental […]
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Google Translate now lets you hear real-time translations in your headphones
The real-time headphone translations experience keeps each speaker’s tone, emphasis, and cadence intact, so it’s easier to follow the conversation and tell who’s saying what.
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Prompt Compression for LLM Generation Optimization and Cost Reduction
Large language models (LLMs) are mainly trained to generate text responses to user queries or prompts, with complex reasoning under the hood that not only involves language generation by predicting each next token in the output sequence, but also entails a deep understanding of the linguistic patterns surrounding the user input text.
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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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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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1X struck a deal to send its ‘home’ humanoids to factories and warehouses
Despite launching as a humanoid robot designed to help consumers around the house, 1X’s NEO robots are heading to industrial use cases.
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EFF Backs Constitutional Challenge to Ecuador’s Intelligence Law That Undermines Human Rights
In early September, EFF submitted an amicus brief to Ecuador’s Constitutional Court supporting a constitutional challenge filed by Ecuadorian NGOs, including INREDH and LaLibre. The case challenges the constitutionality of the Ley Orgánica de Inteligencia (LOI) and its implementing regulation, the General Regulation of the LOI. EFF’s amicus brief argues that the LOI enables disproportionate surveillance and secrecy that undermine constitutional and Inter-American human rights standards. EFF urges the Constitutional Court to declare the LOI and its regulation […]
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7 Steps to Mastering Agentic AI
As AI systems begin handling more complex, multi-stage tasks, understanding agentic design is becoming essential. This article outlines seven practical steps to build reliable, effective AI agents.
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