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31771 Posts
AI Startup Hebbia Locks Up $130M Series B Led By a16z
08 Jul

AI Startup Hebbia Locks Up $130M Series B Led By a16z

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Hebbia, an AI startup that helps businesses analyze all types of data to answer more complex, multi-step questions, raised a $130 million Series B from a handful of big-name investors. The new round was led by Andreessen Horowitz and included participation from Index Ventures, Google Ventures and Peter Thiel. The round — which initially was reported late last month — values the company at approximately $700 million, per Bloomberg. The New York-based startup allows companies to sift through structured and unstructured data — including regulatory filings and PDFs — to answer more detailed and complicated business questions. Not slowing down…
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Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations
08 Jul

Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations

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arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol
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Dive In: Attend Our Interactive AI Innovation Lab At The T&I NA Summit
08 Jul

Dive In: Attend Our Interactive AI Innovation Lab At The T&I NA Summit

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Generative AI is the most hyped technology for 2024, seemingly poised to change how we interact with technology and apparently upset every industry. However, while it is seemingly talked about everywhere, according to Forrester February 2024 Consumer Pulse Survey only 39% of US online adults have actually used generative AI. So: Let’s Test It, In (Friendly) Competition! Join us at Forrester’s Technology & Innovation Summit NA for an Innovation Lab where you’ll get to work with other business and public sector leaders to not only try out the cutting edge in GenAI, but also get hands-on practice with how discrete…
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The hottest temperature recorded in every state
08 Jul

The hottest temperature recorded in every state

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Global temperatures continue to increase, with 2023 recording the warmest numbers on record. In 2021, Oregon, Utah, and Washington broke heat records. The hottest temperature recorded in US history was 134 degrees Fahrenheit in California in 1913. Thanks for signing up! Access your favorite topics in a personalized feed while you're on the go. download the app By clicking ‘Sign up’, you agree to receive marketing emails from Insider as well as other partner offers and accept our Terms of Service and Privacy Policy. 2023 was the hottest year on record, and 2024 is shaping up to be a scorcher…
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Databricks Named a Leader in Stream Processing and Cloud Data Pipelines
08 Jul

Databricks Named a Leader in Stream Processing and Cloud Data Pipelines

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We are proud to announce two new analyst reports recognizing Databricks in the data engineering and data streaming space:IDC MarketScape: Worldwide Analytic Stream Processing Software, 2024 (Leader)Forrester Wave™: Cloud Data Pipelines, Q4 2023 (Leader)You can download the IDC report here, and the Forrester report here.Data engineering on the Databricks Data Intelligence Platform allows data practitioners to build intelligent batch and streaming data pipelines on a unified and governed platform. With Databricks, Data Engineers and their stakeholders can easily ingest, transform, and orchestrate the right data, at the right time, at any scale. Built-in data intelligence accelerates pipeline development through automated…
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Amazon unearths the Echo Spot from the dustbin of its product line
08 Jul

Amazon unearths the Echo Spot from the dustbin of its product line

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Amazon has revealed an all-new Echo Spot ahead of Prime Day. It’s very much like the original Echo Spot that came out in 2017 and was discontinued two years later except the front face is now split between a hemispherical display and speaker.Amazon says the new model comes with better sound and a sharper display. Time will tell if the reboot suffers from the same screen flicker issues as its predecessor. Otherwise, the conceit is more or less identical: it's a bare-bones smart alarm clock that, via Alexa integration, can manage a few simple tasks like providing the weather forecast…
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Reliable Projection Based Unsupervised Learning for Semi-Definite QCQP with Application of Beamforming Optimization
08 Jul

Reliable Projection Based Unsupervised Learning for Semi-Definite QCQP with Application of Beamforming Optimization

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arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol
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Next.js with Shadcn UI Progress Bar Example
08 Jul

Next.js with Shadcn UI Progress Bar Example

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In this tutorial, we will learn how to use a progress bar in Next.js with Shadcn UI. Before using the progress bar in Next.js 13 with Shadcn UI, you need to install it by running npx shadcn-ui@latest add progress. npx shadcn-ui@latest add progress # or npx shadcn-ui@latest add Enter fullscreen mode Exit fullscreen mode Create a progress bar in Next.js 13 using the Shadcn UI Progresscomponent. import { Progress } from "@/components/ui/progress" export default function ProgressDemo() { return ( <div className="space-y-2"> <Progress value={10} /> <Progress value={25} /> <Progress value={50} /> <Progress value={75} /> <Progress value={100} /> </div> ) } Enter…
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Domain-Aware Fine-Tuning of Foundation Models
08 Jul

Domain-Aware Fine-Tuning of Foundation Models

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arXiv:2407.03482v1 Announce Type: new Abstract: Foundation models (FMs) have revolutionized computer vision, enabling effective learning across different domains. However, their performance under domain shift is yet underexplored. This paper investigates the zero-shot domain adaptation potential of FMs by comparing different backbone architectures and introducing novel domain-aware components that leverage domain related textual embeddings. We propose domain adaptive normalization, termed as Domino, which explicitly leverages domain embeddings during fine-tuning, thus making the model domain aware. Ultimately, Domino enables more robust computer vision models that can adapt effectively to various unseen domains. Source link lol
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