Experimental News Clipping Site

Tag: smaller models

  • Hacker News: How outdated information hides in LLM token generation probabilities

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    Kurt Seifried
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    Source URL: https://blog.anj.ai/2025/01/llm-token-generation-probabilities.html Source: Hacker News Title: How outdated information hides in LLM token generation probabilities Feedly Summary: Comments AI Summary and Description: Yes ### Summary: The text provides a deep examination of how large language models (LLMs), such as ChatGPT, process and generate responses based on conflicting and outdated information sourced from the internet.…

  • Hacker News: TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

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    system automation
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    Source URL: https://arxiv.org/abs/2305.07759 Source: Hacker News Title: TinyStories: How Small Can Language Models Be and Still Speak Coherent English? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a study on the capabilities of small language models in generating coherent text using a new dataset called TinyStories. The findings suggest that even…

  • Hacker News: I Run LLMs Locally

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    system automation
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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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    system automation
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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: Lightweight Safety Classification Using Pruned Language Models

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    system automation
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    Source URL: https://arxiv.org/abs/2412.13435 Source: Hacker News Title: Lightweight Safety Classification Using Pruned Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper presents an innovative technique called Layer Enhanced Classification (LEC) for enhancing content safety and prompt injection classification in Large Language Models (LLMs). It highlights the effectiveness of using smaller, pruned…

  • Simon Willison’s Weblog: Everything I’ve learned so far about running local LLMs

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    system automation
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    Source URL: https://simonwillison.net/2024/Nov/10/running-llms/#atom-everything Source: Simon Willison’s Weblog Title: Everything I’ve learned so far about running local LLMs Feedly Summary: Everything I’ve learned so far about running local LLMs Chris Wellons shares detailed notes on his experience running local LLMs on Windows – though most of these tips apply to other operating systems as well. This…

  • Cloud Blog: How to deploy and serve multi-host gen AI large open models over GKE

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    system automation
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploy-and-serve-open-models-over-google-kubernetes-engine/ Source: Cloud Blog Title: How to deploy and serve multi-host gen AI large open models over GKE Feedly Summary: Context As generative AI experiences explosive growth fueled by advancements in LLMs (Large Language Models), access to open models is more critical than ever for developers. Open models are publicly available pre-trained foundational…

  • Hacker News: Notes on Anthropic’s Computer Use Ability

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    system automation
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    Source URL: https://composio.dev/blog/claude-computer-use/ Source: Hacker News Title: Notes on Anthropic’s Computer Use Ability Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Anthropic’s latest AI models, Haiku 3.5 and Sonnet 3.5, highlighting the new “Computer Use” feature that enhances LLM capabilities by enabling interactions like a human user. It presents practical examples…

  • Hacker News: Cerebras Inference now 3x faster: Llama3.1-70B breaks 2,100 tokens/s

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    system automation
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    Source URL: https://cerebras.ai/blog/cerebras-inference-3x-faster/ Source: Hacker News Title: Cerebras Inference now 3x faster: Llama3.1-70B breaks 2,100 tokens/s Feedly Summary: Comments AI Summary and Description: Yes Summary: The text announces a significant performance upgrade to Cerebras Inference, showcasing its ability to run the Llama 3.1-70B AI model at an impressive speed of 2,100 tokens per second. This…

  • Hacker News: Throw more AI at your problems

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    system automation
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    Source URL: https://frontierai.substack.com/p/throw-more-ai-at-your-problems Source: Hacker News Title: Throw more AI at your problems Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into the evolution of AI application development, particularly around the use of multiple LLM (Large Language Model) calls as a means to effectively address problems. It emphasizes a shift…