Sun.May 19, 2024

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Google AI Described New Machine Learning Methods for Generating Differentially Private Synthetic Data

Marktechpost

Google AI researchers describe their novel approach to addressing the challenge of generating high-quality synthetic datasets that preserve user privacy, which are essential for training predictive models without compromising sensitive information. Also, don’t forget to follow us on Twitter.

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CinePile: A Novel Dataset and Benchmark Specifically Designed for Authentic Long-Form Video Understanding

Marktechpost

Video understanding is one of the evolving areas of research in artificial intelligence (AI), focusing on enabling machines to comprehend and analyze visual content. Enhancing the ability of AI to process and understand videos, researchers aim to improve the performance and reliability of various technologies that rely on visual data.

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ALPINE: Autoregressive Learning for Planning in Networks

Marktechpost

These abilities have sparked research into creating even more sophisticated AI models and hint at the possibility of Artificial General Intelligence (AGI). Don’t Forget to join our 42k+ ML SubReddit The post ALPINE: Autoregressive Learning for Planning in Networks appeared first on MarkTechPost. Check out the Paper.

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This AI Paper from Huawei Introduces a Theoretical Framework Focused on the Memorization Process and Performance Dynamics of Transformer-based Language Models (LMs)

Marktechpost

Don’t Forget to join our 42k+ ML SubReddit The post This AI Paper from Huawei Introduces a Theoretical Framework Focused on the Memorization Process and Performance Dynamics of Transformer-based Language Models (LMs) appeared first on MarkTechPost. Also, don’t forget to follow us on Twitter.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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This AI Paper from Stanford University Evaluates the Performance of Multimodal Foundation Models Scaling from Few-Shot to Many-Shot-In-Context Learning ICL

Marktechpost

Each model is accessed through specific endpoints, with OpenAI’s API service for GPT-4o and GPT-4(V)-Turbo, and Google Cloud’s Vertex AI for Gemini 1.5 Claude3-Opus is excluded from experiments due to its 20-image limit per request. Zero temperature is set for all models, and a random seed ensures deterministic responses.

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Reading Beyond the Hype: Some Observations About OpenAI and Google’s Announcements

TheSequence

Discusses Allen AI’s ADaPT paper for planning in LLMs and introduces the SuperAGI framework for building autonomous agents. 📝 Editorial: Reading Beyond the Hype: Some Observations About OpenAI and Google’s Announcements What a week for generative AI! In the case of Google, this is not that surprising.

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