Partnership with Axel Springer to deepen beneficial use of AI in journalism

    Partnership with Axel Springer to deepen beneficial use of AI in journalism

    Axel Springer is the first publishing house globally to partner with us on a deeper integration of journalism in AI …

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    Partnership with Axel Springer to deepen beneficial use of AI in journalism

    Axel Springer is the first publishing house globally to partner with us on a deeper integration of journalism in AI …

    read more
    Partnership with Axel Springer to deepen beneficial use of AI in journalism

    Axel Springer is the first publishing house globally to partner with us on a deeper integration of journalism in AI …

    read more
    Create a web UI to interact with LLMs using Amazon SageMaker JumpStart

    The launch of ChatGPT and rise in popularity of generative AI have captured the imagination of customers who are curious …

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    Vodafone advances its machine learning skills with AWS DeepRacer and Accenture

    Vodafone is transitioning from a telecommunications company (telco) to a technology company (TechCo) by 2025, with objectives of innovating faster, …

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    Frugality meets Accuracy: Cost-efficient training of GPT NeoX and Pythia models with AWS Trainium

    Large language models (or LLMs) have become a topic of daily conversations. Their quick adoption is evident by the amount …

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    Koala: A Dialogue Model for Academic Research

    In this post, we introduce Koala, a chatbot trained by fine-tuning Meta’s LLaMA on dialogue data gathered from the web. …

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    Interactive Fleet Learning

    Figure 1: “Interactive Fleet Learning” (IFL) refers to robot fleets in industry and academia that fall back on human teleoperators …

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    GPT-4 + Stable-Diffusion = ?: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

    TL;DR: Text Prompt -> LLM -> Intermediate Representation (such as an image layout) -> Stable Diffusion -> Image. Recent advancements …

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    Generating 3D Molecular Conformers via Equivariant Coarse-Graining and Aggregated Attention

    <!– –> Figure 1: CoarsenConf architecture. <!– (I) The encoder $q_phi(z| X, mathcal{R})$ takes the fine-grained (FG) ground truth conformer …

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