Month

    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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