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New LLM benchmark tests privacy; Ollama enables local AI

By PulseAugur Editorial · [2 sources] ·

Researchers have developed IDP-Bench, a new benchmark designed to evaluate how well large language models (LLMs) can protect personal information in interdependent privacy scenarios. The benchmark, which uses the Contextual Integrity framework, found that while many open-source LLMs recognize co-ownership of data, they struggle with identifying key privacy parameters and judging the appropriateness of data sharing. Separately, Ollama is gaining popularity as an open-source tool that allows users to run LLMs locally on their own machines, offering enhanced privacy and cost savings compared to cloud-based APIs. AI

IMPACT New benchmark highlights LLM privacy gaps; local execution tools offer enhanced data security.

RANK_REASON The cluster contains a new academic paper introducing a benchmark for LLM privacy and a blog post about a tool for running LLMs locally.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New LLM benchmark tests privacy; Ollama enables local AI

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The cluster contains a new academic paper introducing a benchmark for LLM privacy and a blog post about a tool for running LLMs locally.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Ayana Hussain, Soumya Sharma, Golnoosh Farnadi, Nicholas Vincent, H\'eber Hwang Arcolezi, Ulrich A\"ivodji ·

    IDP-Bench: Benchmarking ability of LLMs to protect personal information in interdependent privacy contexts

    arXiv:2606.09908v1 Announce Type: cross Abstract: Large language models (LLMs) are becoming widely deployed as personal AI assistants with access to sensitive user data, making privacy a major challenge for their design and evaluation. Prior work focuses mainly on individual-leve…

  2. dev.to — LLM tag TIER_1 Bahasa(ID) · Ai Code ·

    Running LLMs Locally with Ollama: Full Privacy Without Cloud Costs

    <h2> Menjalankan LLM Secara Lokal dengan Ollama: Privasi Penuh Tanpa Biaya Cloud </h2> <p>Sejak kemunculan ChatGPT, kita terbiasa bergantung pada API dari perusahaan besar (OpenAI, Anthropic, Google) untuk menjalankan tugas-tugas AI. Namun, ketergantungan ini membawa dua masalah …

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