Tag: pytorch
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Cloud Blog: We tested Intel’s AMX CPU accelerator for AI. Here’s what we learned
Source URL: https://cloud.google.com/blog/products/identity-security/we-tested-intels-amx-cpu-accelerator-for-ai-heres-what-we-learned/ Source: Cloud Blog Title: We tested Intel’s AMX CPU accelerator for AI. Here’s what we learned Feedly Summary: At Google Cloud, we believe that cloud computing will increasingly shift to private, encrypted services where users can be confident that their software and data are not being exposed to unauthorized actors. In support…
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Hacker News: Janus: Decoupling Visual Encoding for Multimodal Understanding and Generation
Source URL: https://github.com/deepseek-ai/Janus Source: Hacker News Title: Janus: Decoupling Visual Encoding for Multimodal Understanding and Generation Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Janus, a novel autoregressive framework designed for multimodal understanding and generation, addressing previous shortcomings in visual encoding. This model’s ability to manage different visual encoding pathways while…
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Hacker News: Trap – Transformers in APL
Source URL: https://github.com/BobMcDear/trap Source: Hacker News Title: Trap – Transformers in APL Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses an implementation of autoregressive transformers in APL, specifically focused on GPT2, highlighting its unique approach to handling performance and simplicity in deep learning. It offers insights that are particularly relevant to…
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Hacker News: PyTorch Native Architecture Optimization: Torchao
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…
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Hacker News: Moshi: A speech-text foundation model for real time dialogue
Source URL: https://github.com/kyutai-labs/moshi Source: Hacker News Title: Moshi: A speech-text foundation model for real time dialogue Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes “Moshi,” a speech-text foundation model that enables real-time dialogue using advanced audio processing techniques. It introduces a new neural audio codec, “Mimi,” which supports fully streaming audio…
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Hacker News: Zep AI (YC W24) Is Hiring Standout AI Engineers
Source URL: https://www.ycombinator.com/companies/zep-ai/jobs/llCvskY-ai-engineer Source: Hacker News Title: Zep AI (YC W24) Is Hiring Standout AI Engineers Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a job opportunity at Zep, a startup focused on creating a long-term memory layer for LLM applications. It emphasizes the need for an experienced AI Engineer with…
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Hacker News: Show HN: Tune LLaMa3.1 on Google Cloud TPUs
Source URL: https://github.com/felafax/felafax Source: Hacker News Title: Show HN: Tune LLaMa3.1 on Google Cloud TPUs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents Felafax, an innovative framework designed to facilitate the continued training and fine-tuning of open-source Large Language Models (LLMs) on Google Cloud’s TPU infrastructure. Notably, it supports a variety…
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Hacker News: Liger-kernel: Efficient triton kernels for LLM training
Source URL: https://github.com/linkedin/Liger-Kernel Source: Hacker News Title: Liger-kernel: Efficient triton kernels for LLM training Feedly Summary: Comments AI Summary and Description: Yes Summary: The Liger Kernel is a specialized Triton kernel collection aimed at enhancing LLM (Large Language Model) training efficiency by significantly improving throughput and reducing memory usage. It is particularly relevant for AI…