Tag: pdf

  • Hacker News: Uncovering Real GPU NoC Characteristics: Implications on Interconnect Arch.

    Source URL: https://people.ece.ubc.ca/aamodt/publications/papers/realgpu-noc.micro2024.pdf Source: Hacker News Title: Uncovering Real GPU NoC Characteristics: Implications on Interconnect Arch. Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a detailed examination of the Network-on-Chip (NoC) architecture in modern GPUs, particularly analyzing interconnect latency and bandwidth across different generations of NVIDIA GPUs. It discusses the implications…

  • Simon Willison’s Weblog: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends

    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/#atom-everything Source: Simon Willison’s Weblog Title: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends Feedly Summary: The Oxide and Friends podcast has an annual tradition of asking guests to share their predictions for the next 1, 3 and 6 years. Here’s 2022, 2023 and 2024. This…

  • Hacker News: Agents Are Not Enough

    Source URL: https://www.arxiv.org/pdf/2412.16241 Source: Hacker News Title: Agents Are Not Enough Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evolution and limitations of AI agents, emphasizing that while advancements exist, they are not sufficient for widespread success. It proposes a new ecosystem that integrates agents, user representations (Sims), and Assistants,…

  • Hacker News: OmniAI (YC W24) Hiring Engineers to Build Open Source Document Extraction

    Source URL: https://www.ycombinator.com/companies/omniai/jobs/LG5jeP2-full-stack-engineer Source: Hacker News Title: OmniAI (YC W24) Hiring Engineers to Build Open Source Document Extraction Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the engineering roles at Omni, focused on building advanced OCR and document extraction technologies, highlighting the challenges of working with LLMs and integrating various tech…

  • Hacker News: Magna: Embedding similarity search tool for searching within large documents

    Source URL: https://github.com/yousef-rafat/Magna Source: Hacker News Title: Magna: Embedding similarity search tool for searching within large documents Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into a tool named Magna, which employs Embedding Similarity Search, a method leveraged in large language models (LLMs). This functionality allows for semantically understanding and…

  • Simon Willison’s Weblog: DeepSeek_V3.pdf

    Source URL: https://simonwillison.net/2024/Dec/26/deepseek-v3/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek_V3.pdf Feedly Summary: DeepSeek_V3.pdf The DeepSeek v3 paper (and model card) are out, after yesterday’s mysterious release of the undocumented model weights. Plenty of interesting details in here. The model pre-trained on 14.8 trillion “high-quality and diverse tokens" (not otherwise documented). Following this, we conduct post-training, including…

  • Hacker News: Build Your Own AI-Powered Document Chatbot in Minutes with Simple RAG

    Source URL: https://news.ycombinator.com/item?id=42504661 Source: Hacker News Title: Build Your Own AI-Powered Document Chatbot in Minutes with Simple RAG Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a project that allows users to create an AI-powered chatbot for document analysis using a Retrieval Augmented Generation (RAG) framework. This is particularly relevant for…

  • Hacker News: Show HN: Otto-m8 – A low code AI/ML API deployment Platform

    Source URL: https://github.com/farhan0167/otto-m8 Source: Hacker News Title: Show HN: Otto-m8 – A low code AI/ML API deployment Platform Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a flowchart-based automation platform named “otto-m8” designed to streamline the deployment of AI models, including both traditional deep learning and large language models (LLMs), through…