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Tag: beam search

  • Simon Willison’s Weblog: How we estimate the risk from prompt injection attacks on AI systems

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/29/prompt-injection-attacks-on-ai-systems/ Source: Simon Willison’s Weblog Title: How we estimate the risk from prompt injection attacks on AI systems Feedly Summary: How we estimate the risk from prompt injection attacks on AI systems The “Agentic AI Security Team" at Google DeepMind share some details on how they are researching indirect prompt injection attacks. They…

  • Google Online Security Blog: How we estimate the risk from prompt injection attacks on AI systems

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    Kurt Seifried
    in

    Source URL: https://security.googleblog.com/2025/01/how-we-estimate-risk-from-prompt.html Source: Google Online Security Blog Title: How we estimate the risk from prompt injection attacks on AI systems Feedly Summary: AI Summary and Description: Yes Summary: The text discusses emerging security challenges in modern AI systems, specifically focusing on a class of attacks called “indirect prompt injection.” It presents a comprehensive evaluation…

  • Hacker News: Apple collaborates with Nvidia to research faster LLM performance

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    system automation
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    Source URL: https://9to5mac.com/2024/12/18/apple-collaborates-with-nvidia-to-research-faster-llm-performance/ Source: Hacker News Title: Apple collaborates with Nvidia to research faster LLM performance Feedly Summary: Comments AI Summary and Description: Yes Summary: Apple has announced a collaboration with NVIDIA to enhance the performance of large language models (LLMs) through a new technique called Recurrent Drafter (ReDrafter). This approach significantly accelerates text generation,…

  • CSA: Test Time Compute

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    system automation
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    Source URL: https://cloudsecurityalliance.org/blog/2024/12/13/test-time-compute Source: CSA Title: Test Time Compute Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses Test-Time Computation (TTC) as a pivotal technique to enhance the performance and efficiency of large language models (LLMs) in real-world applications. It highlights adaptive strategies, the integration of advanced methodologies like Monte Carlo Tree Search…

  • Hacker News: Run Llama locally with only PyTorch on CPU

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    system automation
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    Source URL: https://github.com/anordin95/run-llama-locally Source: Hacker News Title: Run Llama locally with only PyTorch on CPU Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides detailed instructions and insights on running the Llama large language model (LLM) locally with minimal dependencies. It discusses the architecture, dependencies, and performance considerations while using variations of…