Month

    On the Stepwise Nature of <br> Self-Supervised Learning

    Figure 1: stepwise behavior in self-supervised learning. When training common SSL algorithms, we find that the loss descends in a …

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    Training Diffusion Models with <br> Reinforcement Learning

    Training Diffusion Models with Reinforcement Learning replay Diffusion models have recently emerged as the de facto standard for generating complex, …

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    Rethinking the Role of PPO in RLHF

    Rethinking the Role of PPO in RLHF TL;DR: In RLHF, there’s tension between the reward learning phase, which uses human …

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    Goal Representations for Instruction Following

    Goal Representations for Instruction Following <!– Figure title. Figure caption. This image is centered and set to 50% page width. …

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    Asymmetric Certified Robustness via Feature-Convex Neural Networks

    Asymmetric Certified Robustness via Feature-Convex Neural Networks TLDR: We propose the asymmetric certified robustness problem, which requires certified robustness for …

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    Ghostbuster: Detecting Text Ghostwritten by Large Language Models

    The structure of Ghostbuster, our new state-of-the-art method for detecting AI-generated text. Large language models like ChatGPT write impressively well—so …

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    Boosting developer productivity: How Deloitte uses Amazon SageMaker Canvas for no-code/low-code machine learning

    The ability to quickly build and deploy machine learning (ML) models is becoming increasingly important in today’s data-driven world. However, …

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    How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch

    This is a guest post co-authored by Nafi Ahmet Turgut, Hasan Burak Yel, and Damla Şentürk from Getir. Established in …

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    Foundational data protection for enterprise LLM acceleration with Protopia AI

    This post is written in collaboration with Balaji Chandrasekaran, Jennifer Cwagenberg and Andrew Sansom and Eiman Ebrahimi from Protopia AI. …

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    Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

    Structured data, defined as data following a fixed pattern such as information stored in columns within databases, and unstructured data, …

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