Tag: token

  • Hacker News: Some Thoughts on Autoregressive Models

    Source URL: https://wonderfall.dev/autoregressive/ Source: Hacker News Title: Some Thoughts on Autoregressive Models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text offers a comprehensive critique of autoregressive (AR) models, particularly large language models (LLMs), highlighting their strengths and limitations regarding human-like cognition and reasoning. It emphasizes the need for alternative architectures that integrate…

  • Cloud Blog: Introducing built-in performance monitoring for Vertex AI Model Garden

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/performance-monitoring-and-alerts-for-gen-ai-models-on-vertex-ai/ Source: Cloud Blog Title: Introducing built-in performance monitoring for Vertex AI Model Garden Feedly Summary: Today, we’re announcing built-in performance monitoring and alerts for Gemini and other managed foundation models – right from Vertex AI’s homepage. Monitoring the performance of generative AI models is crucial when building lightning-fast, reliable, and scalable applications.…

  • Hacker News: Simple Explanation of LLMs

    Source URL: https://blog.oedemis.io/understanding-llms-a-simple-guide-to-large-language-models Source: Hacker News Title: Simple Explanation of LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive overview of Large Language Models (LLMs), highlighting their rapid adoption in AI, the foundational concepts behind their architecture, such as attention mechanisms and tokenization, and their implications for various fields.…

  • Hacker News: >8 token/s DeepSeek R1 671B Q4_K_M with 1~2 Arc A770 on Xeon

    Source URL: https://github.com/intel/ipex-llm/blob/main/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md Source: Hacker News Title: >8 token/s DeepSeek R1 671B Q4_K_M with 1~2 Arc A770 on Xeon Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive guide on using the llama.cpp portable zip to run AI models on Intel GPUs with IPEX-LLM, detailing setup requirements and configuration steps.…

  • Hacker News: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator

    Source URL: https://sepllm.github.io/ Source: Hacker News Title: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel framework called SepLLM designed to enhance the performance of Large Language Models (LLMs) by improving inference speed and computational efficiency. It identifies an innovative…

  • Cloud Blog: GoStringUngarbler: Deobfuscating Strings in Garbled Binaries

    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/gostringungarbler-deobfuscating-strings-in-garbled-binaries/ Source: Cloud Blog Title: GoStringUngarbler: Deobfuscating Strings in Garbled Binaries Feedly Summary: Written by: Chuong Dong Overview In our day-to-day work, the FLARE team often encounters malware written in Go that is protected using garble. While recent advancements in Go analysis from tools like IDA Pro have simplified the analysis process, garble…

  • Hacker News: MFA Fatigue: A Growing Headache for Schools

    Source URL: https://healthtechmagazine.net/article/2024/04/mfa-fatigue-growing-headache-healthcare-and-how-combat-it Source: Hacker News Title: MFA Fatigue: A Growing Headache for Schools Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the vulnerability of healthcare workers to cyberattacks, particularly focusing on the challenges posed by multi-factor authentication (MFA) fatigue. It emphasizes the importance of adapting security measures to mitigate risks…

  • Hacker News: Writing an LLM from scratch, part 8 – trainable self-attention

    Source URL: https://www.gilesthomas.com/2025/03/llm-from-scratch-8-trainable-self-attention Source: Hacker News Title: Writing an LLM from scratch, part 8 – trainable self-attention Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an in-depth exploration of implementing self-attention mechanisms in large language models (LLMs), focusing on the mathematical operations and concepts involved. This detailed explanation serves as a…

  • Hacker News: Show HN: ArchGW – An open-source intelligent proxy server for prompts

    Source URL: https://github.com/katanemo/archgw Source: Hacker News Title: Show HN: ArchGW – An open-source intelligent proxy server for prompts Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes Arch Gateway, a system designed by Envoy Proxy contributors to streamline the handling of prompts and API interactions through purpose-built LLMs. It features intelligent routing,…