Tag: memory efficiency

  • Cloud Blog: Supercharge your data the open-source way: Memorystore for Valkey is now GA

    Source URL: https://cloud.google.com/blog/products/databases/announcing-general-availability-of-memorystore-for-valkey/ Source: Cloud Blog Title: Supercharge your data the open-source way: Memorystore for Valkey is now GA Feedly Summary: Editor’s note: Ping Xie is a Valkey maintainer on the Valkey Technical Steering Committee (TSC). Memorystore, Google Cloud’s fully managed in-memory service for Valkey, Redis and Memcached, plays an increasingly important role in our…

  • Cloud Blog: ScaNN for AlloyDB: The first PostgreSQL vector search index that works well from millions to billion of vectors

    Source URL: https://cloud.google.com/blog/products/databases/how-scann-for-alloydb-vector-search-compares-to-pgvector-hnsw/ Source: Cloud Blog Title: ScaNN for AlloyDB: The first PostgreSQL vector search index that works well from millions to billion of vectors Feedly Summary: Executive Summary – ScaNN for AlloyDB is the first Postgres-based vector search extension that supports vector indexes of all sizes, while providing fast index builds, fast transactional updates,…

  • Hacker News: Superintelligence startup Reflection AI launches with $130M in funding

    Source URL: https://siliconangle.com/2025/03/07/superintelligence-startup-reflection-ai-launches-130m-funding/ Source: Hacker News Title: Superintelligence startup Reflection AI launches with $130M in funding Feedly Summary: Comments AI Summary and Description: Yes Summary: Reflection AI Inc., a new startup founded by former Google DeepMind researchers, aims to develop superintelligence through AI agents that can automate programming tasks. With $130 million in funding, the…

  • Hacker News: How to Run DeepSeek R1 Distilled Reasoning Models on RyzenAI and Radeon GPUs

    Source URL: https://www.guru3d.com/story/amd-explains-how-to-run-deepseek-r1-distilled-reasoning-models-on-amd-ryzen-ai-and-radeon/ Source: Hacker News Title: How to Run DeepSeek R1 Distilled Reasoning Models on RyzenAI and Radeon GPUs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the capabilities and deployment of DeepSeek R1 Distilled Reasoning models, highlighting their use of chain-of-thought reasoning for complex prompt analysis. It details how…

  • Hacker News: Tensor Product Attention Is All You Need

    Source URL: https://arxiv.org/abs/2501.06425 Source: Hacker News Title: Tensor Product Attention Is All You Need Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel attention mechanism called Tensor Product Attention (TPA) designed for scaling language models efficiently. It highlights the mechanism’s ability to reduce memory overhead during inference while improving model…

  • Hacker News: RWKV Language Model

    Source URL: https://www.rwkv.com/ Source: Hacker News Title: RWKV Language Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The RWKV (RNN with LLM capabilities) presents a significant innovation in language model design by combining the advantages of recurrent neural networks (RNNs) and transformers. Its unique features, including linear time processing and lack of attention…

  • Hacker News: No More Adam: Learning Rate Scaling at Initialization Is All You Need

    Source URL: https://arxiv.org/abs/2412.11768 Source: Hacker News Title: No More Adam: Learning Rate Scaling at Initialization Is All You Need Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel optimization technique called SGD-SaI that enhances the stochastic gradient descent (SGD) algorithm for training deep neural networks. This method simplifies the process…

  • Simon Willison’s Weblog: Meta AI release Llama 3.3

    Source URL: https://simonwillison.net/2024/Dec/6/llama-33/#atom-everything Source: Simon Willison’s Weblog Title: Meta AI release Llama 3.3 Feedly Summary: Meta AI release Llama 3.3 This new Llama-3.3-70B-Instruct model from Meta AI makes some bold claims: This model delivers similar performance to Llama 3.1 405B with cost effective inference that’s feasible to run locally on common developer workstations. I have…

  • The Register: Microsoft unveils beefy custom AMD chip to crunch HPC workloads on Azure

    Source URL: https://www.theregister.com/2024/11/20/microsoft_azure_custom_amd/ Source: The Register Title: Microsoft unveils beefy custom AMD chip to crunch HPC workloads on Azure Feedly Summary: In-house DPU and HSM silicon also shown off Ignite One of the advantages of being a megacorp is that you can customize the silicon that underpins your infrastructure, as Microsoft is demonstrating at this…