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  • How Distilling the World-Knowledge of a Large Language Model Made Our Transformer a Smarter Content…

    How Distilling the World-Knowledge of a Large Language Model Made Our Transformer a Smarter Content…

    Heads up: This post contains some disturbing textual content. Proceed with caution.
    Go to the profile of Shiri Simon Segal
    Shiri Simon Segal
    Mar 18
    Safety by Design for LLMs

    Safety by Design for LLMs

    At ActiveFence, our commitment to safety goes beyond technology. With years of experience and acquisitions like Spectrum Labs and Rewire…
    Go to the profile of Noam Levy
    Noam Levy
    Jan 16
    A Tale About Scale

    A Tale About Scale

    Building a High-Performance AI Backed API: Scaling To Thousands of Inferences Per Second
    Go to the profile of Noam Levy
    Noam Levy
    Nov 3, 2024
    Beyond the Pixels — How Face Age Estimation is Transforming Real-World Safety

    Beyond the Pixels — How Face Age Estimation is Transforming Real-World Safety

    Face age estimation is a task that humans do all the time, consciously or unconsciously.
    Go to the profile of Damian Kaliroff
    Damian Kaliroff
    Jan 16, 2024
    From zero to data lake: our journey to handling data at scale

    From zero to data lake: our journey to handling data at scale

    Jonathan Lavon, Principal Engineer @ ActiveFence.
    Go to the profile of ActiveFence
    ActiveFence
    Jul 18, 2023
    Building a Safer LLM: Embracing Safety by Design for Responsible AI

    Building a Safer LLM: Embracing Safety by Design for Responsible AI

    AI revolution offers great opportunities for development and innovation, likened to the industrial revolution
    Go to the profile of Matar Haller
    Matar Haller
    Jul 17, 2023
    Why We Need AI to Fight AI

    Why We Need AI to Fight AI

    The Wild, Wild Web
    Go to the profile of Nurit Cohen Inger
    Nurit Cohen Inger
    Jun 29, 2023
    Maximizing Cloud ROI with FinOps: A Practical Guide

    Maximizing Cloud ROI with FinOps: A Practical Guide

    ActiveFence values FinOps. Engineers integrate cost considerations from the start, working closely with finance and business teams
    Go to the profile of Noam Levy
    Noam Levy
    Jun 26, 2023
    How Fingerprints Fight Online Evil

    How Fingerprints Fight Online Evil

    Malicious content is readily shared on social media platforms. However, using technology we can make the work of resharing more difficult
    Go to the profile of Ziv Kalderon
    Ziv Kalderon
    Jun 6, 2023
    Shifting Left: when and how to conduct performance tests?

    Shifting Left: when and how to conduct performance tests?

    This blog post explains why performance testing is important in software development, especially for companies with strict SLAs
    Go to the profile of Ziv Kalderon
    Ziv Kalderon
    Jun 6, 2023
    How did we get to a deep-learning model for symbol recognition with a small amount of labeled data?

    How did we get to a deep-learning model for symbol recognition with a small amount of labeled data?

    Discover how AI and subject-domain expertise detect harmful content amidst vast user-generated data on online platforms
    Go to the profile of Iyarzaks
    Iyarzaks
    Jun 6, 2023
    Racism, Hate, and Weddings- 3 Ways to Avoid Biased Data

    Racism, Hate, and Weddings- 3 Ways to Avoid Biased Data

    Working with biased data presents many problems. Here we share how to diagnose, handle, and reduce such data
    Go to the profile of maya raifer
    maya raifer
    Jun 4, 2023
    Why is it difficult to receive feedback (even for AI)

    Why is it difficult to receive feedback (even for AI)

    Labeled datasets are crucial for models, Integrating feedback into AI is challenging. Here, I’ll share insights on overcoming these
    Go to the profile of Iddo Aviram
    Iddo Aviram
    Jun 4, 2023
    Contextual A.I. for Adapting to Adversaries, with Matar Haller

    Contextual A.I. for Adapting to Adversaries, with Matar Haller

    Matar Haller speaks to Jon Krohn about the challenges of identifying, analyzing and flagging malicious information online
    Go to the profile of ActiveFence
    ActiveFence
    Jun 4, 2023
    ActiveFence R&D @ PyData Conference

    ActiveFence R&D @ PyData Conference

    Check out “Constructing and Querying Data models to Detect Online Harm” presented by our data team
    Go to the profile of ActiveFence
    ActiveFence
    Jun 4, 2023
    ActiveFence @ PyData

    ActiveFence @ PyData

    Join Matar and Shimon as they explore the significance of prioritizing data quality and quantity in Data-Centric AI
    Go to the profile of ActiveFence
    ActiveFence
    Jun 4, 2023
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