Experimental News Clipping Site

Tag: Inference

  • Cloud Blog: Introducing agent evaluation in Vertex AI Gen AI evaluation service

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-agent-evaluation-in-vertex-ai-gen-ai-evaluation-service/ Source: Cloud Blog Title: Introducing agent evaluation in Vertex AI Gen AI evaluation service Feedly Summary: Comprehensive agent evaluation is essential for building the next generation of reliable AI. It’s not enough to simply check the outputs; we need to understand the “why" behind an agent’s actions – its reasoning, decision-making process,…

  • Cloud Blog: How L’Oréal Tech Accelerator built its end-to-end MLOps platform

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-loreals-tech-accelerator-built-its-end-to-end-mlops-platform/ Source: Cloud Blog Title: How L’Oréal Tech Accelerator built its end-to-end MLOps platform Feedly Summary: Technology has transformed our lives and social interactions at an unprecedented speed and scale, creating new opportunities. To adapt to this reality, L’Oréal has established itself as a leader in Beauty Tech, promoting personalized, inclusive, and responsible…

  • Simon Willison’s Weblog: Trading Inference-Time Compute for Adversarial Robustness

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/22/trading-inference-time-compute/ Source: Simon Willison’s Weblog Title: Trading Inference-Time Compute for Adversarial Robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness Brand new research paper from OpenAI, exploring how inference-scaling “reasoning" models such as o1 might impact the search for improved security with respect to things like prompt injection. We conduct experiments on the…

  • OpenAI : Trading inference-time compute for adversarial robustness

    —

    by

    Kurt Seifried
    in

    Source URL: https://openai.com/index/trading-inference-time-compute-for-adversarial-robustness Source: OpenAI Title: Trading inference-time compute for adversarial robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness AI Summary and Description: Yes Summary: The text explores the trade-offs between inference-time computing demands and adversarial robustness within AI systems, particularly relevant in the context of machine learning and AI security. This topic holds…

  • Hacker News: Arm releases Chiplet System Architecture spec beta version

    —

    by

    Kurt Seifried
    in

    Source URL: https://newsroom.arm.com/blog/arm-chiplet-system-architecture-accelerating-evolution-of-silicon Source: Hacker News Title: Arm releases Chiplet System Architecture spec beta version Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the significance of Arm’s newly released Chiplet System Architecture (CSA) which aims to accelerate innovation in custom silicon design for diverse AI workloads across markets. This milestone is…

  • Simon Willison’s Weblog: llm-gemini 0.9

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/22/llm-gemini/ Source: Simon Willison’s Weblog Title: llm-gemini 0.9 Feedly Summary: llm-gemini 0.9 This new release of my llm-gemini plugin adds support for two new experimental models: learnlm-1.5-pro-experimental is “an experimental task-specific model that has been trained to align with learning science principles when following system instructions for teaching and learning use cases" –…

  • Hacker News: Tensor Product Attention Is All You Need

    —

    by

    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2501.06425 Source: Hacker News Title: Tensor Product Attention Is All You Need Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel attention mechanism called Tensor Product Attention (TPA) designed for scaling language models efficiently. It highlights the mechanism’s ability to reduce memory overhead during inference while improving model…

  • Simon Willison’s Weblog: DeepSeek-R1 and exploring DeepSeek-R1-Distill-Llama-8B

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/20/deepseek-r1/ Source: Simon Willison’s Weblog Title: DeepSeek-R1 and exploring DeepSeek-R1-Distill-Llama-8B Feedly Summary: DeepSeek are the Chinese AI lab who dropped the best currently available open weights LLM on Christmas day, DeepSeek v3. That model was trained in part using their unreleased R1 “reasoning" model. Today they’ve released R1 itself, along with a whole…

  • The Register: Just as your LLM once again goes off the rails, Cisco, Nvidia are at the door smiling

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/01/17/nvidia_cisco_ai_guardrails_security/ Source: The Register Title: Just as your LLM once again goes off the rails, Cisco, Nvidia are at the door smiling Feedly Summary: Some of you have apparently already botched chatbots or allowed ‘shadow AI’ to creep in Cisco and Nvidia have both recognized that as useful as today’s AI may be,…

  • Simon Willison’s Weblog: Quoting gwern

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/16/gwern/#atom-everything Source: Simon Willison’s Weblog Title: Quoting gwern Feedly Summary: […] much of the point of a model like o1 is not to deploy it, but to generate training data for the next model. Every problem that an o1 solves is now a training data point for an o3 (eg. any o1 session…