Tag: language models
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Hacker News: DeepSeek: Advancing theorem proving in LLMs through large-scale synthetic data
Source URL: https://arxiv.org/abs/2405.14333 Source: Hacker News Title: DeepSeek: Advancing theorem proving in LLMs through large-scale synthetic data Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces DeepSeek-Prover, an innovative approach that leverages large-scale synthetic data to improve the capabilities of large language models (LLMs) in formal theorem proving. It highlights the challenges…
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Wired: The Hottest Startups in Zurich in 2024
Source URL: https://www.wired.com/story/the-hottest-startups-in-zurich-in-2024/ Source: Wired Title: The Hottest Startups in Zurich in 2024 Feedly Summary: The Swiss capital might be most associated with fintech, but its startups are also focussing on medical robotics, AI-powered language learning, and the batteries of the future. AI Summary and Description: Yes **Summary:** The text highlights the dynamic tech startup…
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Hacker News: Llama 405B 506 tokens/second on an H200
Source URL: https://developer.nvidia.com/blog/boosting-llama-3-1-405b-throughput-by-another-1-5x-on-nvidia-h200-tensor-core-gpus-and-nvlink-switch/ Source: Hacker News Title: Llama 405B 506 tokens/second on an H200 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in LLM (Large Language Model) processing techniques, specifically focusing on tensor and pipeline parallelism within NVIDIA’s architecture, enhancing performance in inference tasks. It provides insights into how these…
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Hacker News: Large language models reduce public knowledge sharing on online Q&A platforms
Source URL: https://academic.oup.com/pnasnexus/article/3/9/pgae400/7754871 Source: Hacker News Title: Large language models reduce public knowledge sharing on online Q&A platforms Feedly Summary: Comments AI Summary and Description: Yes **Summary**: The text discusses a significant decline in user activity on Stack Overflow following the release of ChatGPT, underscoring the implications for the generation of digital public goods and…
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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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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…