Tag: models
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Slashdot: LLM Attacks Take Just 42 Seconds On Average, 20% of Jailbreaks Succeed
Source URL: https://it.slashdot.org/story/24/10/12/213247/llm-attacks-take-just-42-seconds-on-average-20-of-jailbreaks-succeed?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: LLM Attacks Take Just 42 Seconds On Average, 20% of Jailbreaks Succeed Feedly Summary: AI Summary and Description: Yes Summary: The article discusses alarming findings from Pillar Security’s report on attacks against large language models (LLMs), revealing that such attacks are not only alarmingly quick but also frequently result…
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Hacker News: A Swiss firm’s software mines the world’s knowledge for patent opportunities
Source URL: https://spectrum.ieee.org/ai-inventions Source: Hacker News Title: A Swiss firm’s software mines the world’s knowledge for patent opportunities Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Iprova’s innovative use of AI in the realm of invention and patenting, revealing how the company leverages AI to analyze extensive literature and suggest novel…
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The Register: Anthropic’s Claude vulnerable to ’emotional manipulation’
Source URL: https://www.theregister.com/2024/10/12/anthropics_claude_vulnerable_to_emotional/ Source: The Register Title: Anthropic’s Claude vulnerable to ’emotional manipulation’ Feedly Summary: AI model safety only goes so far Anthropic’s Claude 3.5 Sonnet, despite its reputation as one of the better behaved generative AI models, can still be convinced to emit racist hate speech and malware.… AI Summary and Description: Yes Summary:…
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Hacker News: INTELLECT–1: Launching the First Decentralized Training of a 10B Parameter Model
Source URL: https://www.primeintellect.ai/blog/intellect-1 Source: Hacker News Title: INTELLECT–1: Launching the First Decentralized Training of a 10B Parameter Model Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the launch of INTELLECT-1, a pioneering initiative for decentralized training of a large AI model with 10 billion parameters. It highlights the use of the…
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Simon Willison’s Weblog: lm.rs: run inference on Language Models locally on the CPU with Rust
Source URL: https://simonwillison.net/2024/Oct/11/lmrs/ Source: Simon Willison’s Weblog Title: lm.rs: run inference on Language Models locally on the CPU with Rust Feedly Summary: lm.rs: run inference on Language Models locally on the CPU with Rust Impressive new LLM inference implementation in Rust by Samuel Vitorino. I tried it just now on an M2 Mac with 64GB…
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Hacker News: LLMs don’t do formal reasoning – and that is a HUGE problem
Source URL: https://garymarcus.substack.com/p/llms-dont-do-formal-reasoning-and Source: Hacker News Title: LLMs don’t do formal reasoning – and that is a HUGE problem Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses insights from a new article on large language models (LLMs) authored by researchers at Apple, which critically examines the limitations in reasoning capabilities of…
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Hacker News: Lm.rs Minimal CPU LLM inference in Rust with no dependency
Source URL: https://github.com/samuel-vitorino/lm.rs Source: Hacker News Title: Lm.rs Minimal CPU LLM inference in Rust with no dependency Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text pertains to the development and utilization of a Rust-based application for running inference on Large Language Models (LLMs), particularly the LLama 3.2 models. It discusses technical…