Cloud Security Alliance News Clipping Site

Tag: quantization

  • Hacker News: Show HN: Client Side anti-RAG solution

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    Source URL: https://ai.unturf.com/#client-side Source: Hacker News Title: Show HN: Client Side anti-RAG solution Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the deployment and usage of the Hermes AI model, highlighting an open-source AI service that facilitates user interaction via Python and Node.js examples. The mention of open-source principles, infrastructure setup,…

  • Hacker News: Implementing neural networks on the "3 cent" 8-bit microcontroller

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    Source URL: https://cpldcpu.wordpress.com/2024/05/02/machine-learning-mnist-inference-on-the-3-cent-microcontroller/ Source: Hacker News Title: Implementing neural networks on the "3 cent" 8-bit microcontroller Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the implementation of a neural network-based inference engine for recognizing handwritten digits (from the MNIST dataset) on extremely low-end microcontrollers, specifically the Padauk 8-bit microcontroller series. It…

  • Hacker News: AI PCs Aren’t Good at AI: The CPU Beats the NPU

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    Source URL: https://github.com/usefulsensors/qc_npu_benchmark Source: Hacker News Title: AI PCs Aren’t Good at AI: The CPU Beats the NPU Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents a benchmarking analysis of Qualcomm’s Neural Processing Unit (NPU) performance on Microsoft Surface tablets, highlighting a significant discrepancy between claimed and actual processing speeds for…

  • Hacker News: Un Ministral, Des Ministraux

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    Source URL: https://mistral.ai/news/ministraux/ Source: Hacker News Title: Un Ministral, Des Ministraux Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces two advanced edge AI models, Ministral 3B and Ministral 8B, designed for on-device computing and privacy-first applications. These models stand out for their efficiency, context length support, and capability to facilitate critical…

  • Hacker News: INTELLECT–1: Launching the First Decentralized Training of a 10B Parameter Model

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    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…

  • Hacker News: Lm.rs Minimal CPU LLM inference in Rust with no dependency

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    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…

  • Hacker News: PyTorch Native Architecture Optimization: Torchao

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    Source URL: https://pytorch.org/blog/pytorch-native-architecture-optimization/ Source: Hacker News Title: PyTorch Native Architecture Optimization: Torchao Feedly Summary: Comments AI Summary and Description: Yes Summary: The text announces the launch of “torchao,” a new PyTorch library designed to enhance model efficiency through techniques like low-bit data types, quantization, and sparsity. It highlights substantial performance improvements for popular Generative AI…

  • The Register: Apple ropes off 4 GB of iPhone storage to house AI models

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    Source URL: https://www.theregister.com/2024/09/25/apple_4gb_ai/ Source: The Register Title: Apple ropes off 4 GB of iPhone storage to house AI models Feedly Summary: Carve-out expected to get larger over time, too Apple’s on-device AI model, dubbed Apple Intelligence, will require 4 GB of device storage space, and more at a later date. That’s about the size of…

  • Hacker News: Fine-Tuning LLMs to 1.58bit

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    Source URL: https://huggingface.co/blog/1_58_llm_extreme_quantization Source: Hacker News Title: Fine-Tuning LLMs to 1.58bit Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the recently introduced BitNet architecture by Microsoft Research, which allows extreme quantization of Large Language Models (LLMs) to just 1.58 bits per parameter. This significant reduction in memory and computational demands presents…

  • Hacker News: How to evaluate performance of LLM inference frameworks

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    Source URL: https://www.lamini.ai/blog/evaluate-performance-llm-inference-frameworks Source: Hacker News Title: How to evaluate performance of LLM inference frameworks Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges associated with LLM (Large Language Model) inference frameworks and the concept of the “memory wall,” a hardware-imposed limitation affecting performance. It emphasizes developers’ need to understand…