Experimental News Clipping Site

Tag: large language model

  • Wired: To Fight AI Search Spam, Prioritize Real Human Voices

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    Source URL: https://www.wired.com/story/optimize-for-authentic-voices-in-a-sea-of-ai-search-spam/ Source: Wired Title: To Fight AI Search Spam, Prioritize Real Human Voices Feedly Summary: Anti-algorithm tactics and human moderators need to keep the web honest. AI Summary and Description: Yes Summary: The text discusses the implications of generative AI in various industries, particularly highlighting its impact on content creation and search engine…

  • Slashdot: AI Tools May Soon Manipulate People’s Online Decision-Making, Say Researchers

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    Source URL: https://slashdot.org/story/24/12/30/0435226/ai-tools-may-soon-manipulate-peoples-online-decision-making-say-researchers?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Tools May Soon Manipulate People’s Online Decision-Making, Say Researchers Feedly Summary: AI Summary and Description: Yes Summary: This text discusses the potential of AI tools to manipulate online audiences by using insights from human behavior and intentions, emphasizing the emergence of an “intention economy.” Researchers warn about the…

  • Hacker News: KAG – Knowledge Graph RAG Framework

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    Source URL: https://github.com/OpenSPG/KAG Source: Hacker News Title: KAG – Knowledge Graph RAG Framework Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces KAG (Knowledge Augmented Generation), a framework leveraging large language models (LLMs) to enhance logical reasoning and Q&A capabilities in specialized domains. It overcomes traditional challenges in vector similarity and graph…

  • Hacker News: Measuring and Understanding LLM Identity Confusion

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    Source URL: https://arxiv.org/abs/2411.10683 Source: Hacker News Title: Measuring and Understanding LLM Identity Confusion Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a research paper focused on “identity confusion” in Large Language Models (LLMs), which has implications for their originality and trustworthiness across various applications. With over a quarter of analyzed LLMs…

  • The Register: It’s only a matter of time before LLMs jump start supply-chain attacks

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    Source URL: https://www.theregister.com/2024/12/29/llm_supply_chain_attacks/ Source: The Register Title: It’s only a matter of time before LLMs jump start supply-chain attacks Feedly Summary: ‘The greatest concern is with spear phishing and social engineering’ Interview Now that criminals have realized there’s no need to train their own LLMs for any nefarious purposes – it’s much cheaper and easier…

  • Hacker News: I Run LLMs Locally

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    Source URL: https://abishekmuthian.com/how-i-run-llms-locally/ Source: Hacker News Title: I Run LLMs Locally Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses how to set up and run Large Language Models (LLMs) locally, highlighting hardware requirements, tools, model choices, and practical insights on achieving better performance. This is particularly relevant for professionals focused on…

  • Hacker News: Can LLMs Accurately Recall the Bible

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    Source URL: https://benkaiser.dev/can-llms-accurately-recall-the-bible/ Source: Hacker News Title: Can LLMs Accurately Recall the Bible Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents an evaluation of Large Language Models (LLMs) regarding their ability to accurately recall Bible verses. The analysis reveals significant differences in accuracy based on model size and parameter count, highlighting…

  • Hacker News: All You Need Is 4x 4090 GPUs to Train Your Own Model

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    Source URL: https://sabareesh.com/posts/llm-rig/ Source: Hacker News Title: All You Need Is 4x 4090 GPUs to Train Your Own Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a detailed guide on building a custom machine learning rig specifically for training Large Language Models (LLMs) using high-performance hardware. It highlights the significance…

  • Hacker News: Explaining Large Language Models Decisions Using Shapley Values

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    Source URL: https://arxiv.org/abs/2404.01332 Source: Hacker News Title: Explaining Large Language Models Decisions Using Shapley Values Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper explores the use of Shapley values to interpret decisions made by large language models (LLMs), highlighting how these models can exhibit cognitive biases and “token noise” effects. This work…

  • Hacker News: Running DeepSeek V3 671B on M4 Mac Mini Cluster

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    Source URL: https://blog.exolabs.net/day-2 Source: Hacker News Title: Running DeepSeek V3 671B on M4 Mac Mini Cluster Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into the performance of the DeepSeek V3 model on Apple Silicon, especially in terms of its efficiency and speed compared to other models. It discusses the…