Tag: computational efficiency
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Hacker News: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges
Source URL: https://arxiv.org/abs/2408.13296 Source: Hacker News Title: Fine-Tuning LLMs: A Review of Technologies, Research, Best Practices, Challenges Feedly Summary: Comments AI Summary and Description: Yes Summary: This guide extensively covers the fine-tuning of Large Language Models (LLMs), detailing methodologies, techniques, and practical applications. Its relevance to AI and LLM security professionals is underscored by discussions…
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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: Addition Is All You Need for Energy-Efficient Language Models
Source URL: https://arxiv.org/abs/2410.00907 Source: Hacker News Title: Addition Is All You Need for Energy-Efficient Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper presents a novel approach to reducing energy consumption in large language models by using an innovative algorithm called L-Mul, which approximates floating-point multiplication through integer addition. This method…
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Slashdot: Researchers Claim New Technique Slashes AI Energy Use By 95%
Source URL: https://science.slashdot.org/story/24/10/08/2035247/researchers-claim-new-technique-slashes-ai-energy-use-by-95?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Researchers Claim New Technique Slashes AI Energy Use By 95% Feedly Summary: AI Summary and Description: Yes Summary: Researchers at BitEnergy AI, Inc. have introduced Linear-Complexity Multiplication (L-Mul), a novel technique that reduces AI model power consumption by up to 95% by replacing floating-point multiplications with integer additions. This…
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Hacker News: Matrix Multiplication in Finite Fields
Source URL: https://fileforma.substack.com/p/update-ffgemm-finite-field-general Source: Hacker News Title: Matrix Multiplication in Finite Fields Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Fileforma, a laboratory focused on researching custom binary formats for AI, particularly alternatives to traditional floating-point formats. The introduction of the ffGEMM library highlights the importance of finite fields in fast…
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Hacker News: Baiting the Bots
Source URL: https://conspirator0.substack.com/p/baiting-the-bot Source: Hacker News Title: Baiting the Bots Feedly Summary: Comments AI Summary and Description: Yes Summary: The text analyzes the behavior of various chatbots based on large language models (LLMs) like Llama 3.1 in response to simpler, nonsensical bots. It reveals key insights into human-like engagement and computational efficiency in AI-based conversations,…
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Hacker News: Self-Supervised Learning for Videos
Source URL: https://www.lightly.ai/post/self-supervised-learning-for-videos Source: Hacker News Title: Self-Supervised Learning for Videos Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses advancements in self-supervised learning techniques specifically focusing on video data, highlighting architectures such as VideoMAE and its follow-ups, which address the unique challenges intrinsic to video – namely, temporal redundancy and correlation.…