10 Python One-Liners for Calculating Model Feature Importance
Understanding machine learning models is a vital aspect of building trustworthy AI systems.
Understanding machine learning models is a vital aspect of building trustworthy AI systems.
We introduce Representation Tokenizer (RepTok), a generative modeling framework that represents an image using a single continuous latent token obtained from self-supervised vision transformers. Building on a pre-trained SSL encoder, we fine-tune only the semantic token embedding and pair it with a generative decoder trained jointly using a standard flow matching objective. This adaptation enriches …
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Supercharging the ML and AI Development Experience at Netflix with Metaflow Shashank Srikanth, Romain Cledat Metaflow — a framework we started and open-sourced in 2019 — now powers a wide range of ML and AI systems across Netflix and at many other companies. It is well loved by users for helping them take their ML/AI workflows from prototype to production, allowing …
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Amazon Bedrock AgentCore is an agentic platform for building, deploying, and operating effective agents securely at scale. Amazon Bedrock AgentCore Runtime is a fully managed service of Bedrock AgentCore, which provides low latency serverless environments to deploy agents and tools. It provides session isolation, supports multiple agent frameworks including popular open-source frameworks, and handles multimodal …
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The intelligence of AI models isn’t what’s blocking enterprise deployments. It’s the inability to define and measure quality in the first place. That’s where AI judges are now playing an increasingly important role. In AI evaluation, a “judge” is an AI system that scores outputs from another AI system. Judge Builder is Databricks’ framework for …
It doesn’t take technical expertise to work around the built-in guardrails of artificial intelligence (AI) chatbots like ChatGPT and Gemini, which are intended to ensure that the chatbots operate within a set of legal and ethical boundaries and do not discriminate against people of a certain age, race or gender.
https://github.com/tritant/ComfyUI_SuperScaler submitted by /u/Away_Exam_4586 [link] [comments]
Large language models (LLMs) exhibit outstanding abilities to reason over, summarize, and creatively generate text.
AI policy sets boundaries on acceptable behavior for AI models, but this is challenging in the context of large language models (LLMs): how do you ensure coverage over a vast behavior space? We introduce policy maps, an approach to AI policy design inspired by the practice of physical mapmaking. Instead of aiming for full coverage, …
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In high-volume healthcare contact centers, every patient conversation carries both clinical and operational significance, making accurate real-time transcription necessary for automated workflows. Accurate, instant transcription enables intelligent automation without sacrificing clarity or care, so that teams can automate electronic medical record (EMR) record matching, streamline workflows, and eliminate manual data entry. By removing routine process …