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31 Jul

Meta’s going to spend like crazy on AI in the next year — and investors don’t hate it

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The social media giant surpassed analyst expectations in its second-quarter earnings report released Wednesday. Its revenue hit $39 billion, a 22% increase over the same period last year. Wall Street analysts had expected just over $38 billion.Meanwhile, the company said it expects infrastructure costs — such as the money it's plowing into building its artificial intelligence capabilities — to be a "significant driver of expense growth." It's expecting to spend at least $35 billion to $37 billion this year — an increase from its last estimate. It kept its maximum spend estimate at $40 billion for the year.And it is…

31 Jul

Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation

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arXiv:2407.19306v1 Announce Type: new Abstract: We propose Sym-Net, a novel framework for Few-Shot Segmentation (FSS) that addresses the critical issue of intra-class variation by jointly learning both query and support prototypes in a symmetrical manner. Unlike previous methods that generate query prototypes solely by matching query features to support prototypes, which is a form of bias learning towards the few-shot support samples, Sym-Net leverages a balanced symmetrical learning approach for both query and support prototypes, ensuring that the learning process does not favor one set (support or query) over the other. One of main modules of Sym-Net is the visual-text…

31 Jul

AMD's AI Chip Sales Boost and Microsoft Azure's Slowing Growth | Bloomberg Technology

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Bloomberg's Ed Ludlow sits down with the CEOs of AMD, T-Mobile and Pinterest as tech earnings move into full swing. Plus, full coverage of Microsoft as Azure's slowing growth tests investors' patience, and the US spares ASML and Tokyo Electron from chip curbs. (Source: Bloomberg) Source link lol

31 Jul

Comparison of Large Language Models for Generating Contextually Relevant Questions

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arXiv:2407.20578v1 Announce Type: new Abstract: This study explores the effectiveness of Large Language Models (LLMs) for Automatic Question Generation in educational settings. Three LLMs are compared in their ability to create questions from university slide text without fine-tuning. Questions were obtained in a two-step pipeline: first, answer phrases were extracted from slides using Llama 2-Chat 13B; then, the three models generated questions for each answer. To analyze whether the questions would be suitable in educational applications for students, a survey was conducted with 46 students who evaluated a total of 246 questions across five metrics: clarity, relevance, difficulty, slide relation,…

31 Jul

Use the ApplyGuardrail API with long-context inputs and streaming outputs in Amazon Bedrock | Amazon Web Services

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As generative artificial intelligence (AI) applications become more prevalent, maintaining responsible AI principles becomes essential. Without proper safeguards, large language models (LLMs) can potentially generate harmful, biased, or inappropriate content, posing risks to individuals and organizations. Applying guardrails helps mitigate these risks by enforcing policies and guidelines that align with ethical principles and legal requirements. Guardrails for Amazon Bedrock evaluates user inputs and model responses based on use case-specific policies, and provides an additional layer of safeguards regardless of the underlying foundation model (FM). Guardrails can be applied across all LLMs on Amazon Bedrock, including fine-tuned models and even generative…

31 Jul

Beloved Local Newspapers Fired Staffers, Then Started Running AI Slop

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"We weren't happy about it at all, and we were absolutely not involved in putting it up."Porn ParadeDeath with dignity? Not in this AI age.In the latest horrifying turn in the slow-bleed demise of journalism, Wired reports that several beloved alt-weeklies, including LA Weekly and The Village Voice, have suddenly started running a deluge of suspiciously similar listicles recommending porn models.The listicles are almost certainly generated by AI, and to make matters worse, are being presented to readers as real editorial content.At the New York-based Village Voice — which, with its ceasing of publication in 2017 but subsequent revival in…

31 Jul

Cribl Peers Into the Data Currents. Here’s What It Found

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(Image source: Cribl) IT observability firm Cribl today took the wraps off “Navigating the data current,” a new report that digs into details of its customers’ data operations from IT and security perspectives. Among the noteworthy trends highlighted by Cribl are the growth of data sources, the popularity of specific cloud destinations, and what’s going on with the SIEM market. Before we get into the report, it’s important to be aware of Cribl’s position in the IT observability market. The company, which was founded six years ago, serves as a sort of independent broker for fast-moving observability data, including event…

31 Jul

MedEvolve Experiences Rapid Growth with RCM Services Clients – AI-Tech Park

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MedEvolve Experiences Rapid Growth with RCM Services Clients - AI-Tech Park This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. ACCEPT Privacy PolicyPrivacy & Cookies Policy Source link lol

31 Jul

Trump kicked off his NABJ appearance in a combative mood. It only got worse from there.

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Most people expected fireworks when it was announced that former President Donald Trump would appear at this year's National Association of Black Journalists convention in Chicago.And that's exactly what happened almost immediately after Trump walked onto the stage, as the former president complained about the tone of the first few questions that he was asked and accused Vice President Kamala Harris of downplaying her Indian heritage."I didn't know she was Black until a number of years ago, when she happened to turn Black, and now she wants to be known as Black," the former president said of Harris."Is she Indian…

31 Jul

Ingest data from SQL Server, Salesforce, and Workday with LakeFlow Connect

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We’re excited to announce the Public Preview of LakeFlow Connect for SQL Server, Salesforce, and Workday. These ingestion connectors enable simple and efficient ingestion from databases and enterprise apps—powered by incremental data processing and smart optimizations under the hood. LakeFlow Connect is also native to the Data Intelligence Platform, so it offers both serverless compute and Unity Catalog governance. Ultimately, this means organizations can spend less time moving their data and more time getting value from it.More broadly, this is a key step towards realizing the future of data engineering on Databricks with LakeFlow: the unified solution for ingestion, transformation…