Tag: computational demand

  • Simon Willison’s Weblog: Quoting Ethan Mollick

    Source URL: https://simonwillison.net/2025/Mar/2/ethan-mollick/ Source: Simon Willison’s Weblog Title: Quoting Ethan Mollick Feedly Summary: After publishing this piece, I was contacted by Anthropic who told me that Sonnet 3.7 would not be considered a 10^26 FLOP model and cost a few tens of millions of dollars to train, though future models will be much bigger. —…

  • Hacker News: 3x Improvement with Infinite Retrieval: Attention Enhanced LLMs in Long-Context

    Source URL: https://arxiv.org/abs/2502.12962 Source: Hacker News Title: 3x Improvement with Infinite Retrieval: Attention Enhanced LLMs in Long-Context Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel approach called InfiniRetri, which enhances long-context processing capabilities of Large Language Models (LLMs) by utilizing their own attention mechanisms for improved retrieval accuracy. This…

  • Simon Willison’s Weblog: Introducing GPT-4.5

    Source URL: https://simonwillison.net/2025/Feb/27/introducing-gpt-45/#atom-everything Source: Simon Willison’s Weblog Title: Introducing GPT-4.5 Feedly Summary: Introducing GPT-4.5 GPT-4.5 is out today as a “research preview" – it’s available to OpenAI Pro ($200/month) customers but also to developers with an API key. OpenAI also published a GPT-4.5 system card. I’ve started work adding it to LLM but I don’t…

  • Slashdot: Jensen Huang: AI Has To Do ‘100 Times More’ Computation Now Than When ChatGPT Was Released

    Source URL: https://slashdot.org/story/25/02/27/0158229/jensen-huang-ai-has-to-do-100-times-more-computation-now-than-when-chatgpt-was-released?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Jensen Huang: AI Has To Do ‘100 Times More’ Computation Now Than When ChatGPT Was Released Feedly Summary: AI Summary and Description: Yes Summary: Nvidia CEO Jensen Huang states that next-generation AI will require significantly more computational power due to advanced reasoning approaches. He discusses the implications of this…

  • Cloud Blog: Optimizing image generation pipelines on Google Cloud: A practical guide

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/guide-to-optimizing-image-generation-pipelines/ Source: Cloud Blog Title: Optimizing image generation pipelines on Google Cloud: A practical guide Feedly Summary: Generative AI diffusion models such as Stable Diffusion and Flux produce stunning visuals, empowering creators across various verticals with impressive image generation capabilities. However, generating high-quality images through sophisticated pipelines can be computationally demanding, even with…

  • Cloud Blog: Operationalizing generative AI apps with Apigee

    Source URL: https://cloud.google.com/blog/products/api-management/using-apigee-api-management-for-ai/ Source: Cloud Blog Title: Operationalizing generative AI apps with Apigee Feedly Summary: Generative AI is now well  beyond the hype and into the realm of practical application. But while organizations are eager to build enterprise-ready gen AI solutions on top of large language models (LLMs), they face challenges in managing, securing, and…

  • Hacker News: Has DeepSeek improved the Transformer architecture

    Source URL: https://epoch.ai/gradient-updates/how-has-deepseek-improved-the-transformer-architecture Source: Hacker News Title: Has DeepSeek improved the Transformer architecture Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the innovative architectural advancements in DeepSeek v3, a new AI model that boasts state-of-the-art performance with significantly reduced training times and computational demands compared to its predecessor, Llama 3. Key…

  • Cloud Blog: Announcing the general availability of Trillium, our sixth-generation TPU

    Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga/ Source: Cloud Blog Title: Announcing the general availability of Trillium, our sixth-generation TPU Feedly Summary: The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over…

  • New York Times – Artificial Intelligence : Sam Altman Says Artificial General Intelligence Is on the Horizon

    Source URL: https://www.nytimes.com/video/business/100000009858580/sam-altman-openai-dealbook.html Source: New York Times – Artificial Intelligence Title: Sam Altman Says Artificial General Intelligence Is on the Horizon Feedly Summary: Speaking at The New York Times DealBook Summit, Sam Altman, the chief executive of OpenAI, said that the arrival of artificial general intelligence would “matter much less” to the average person than…

  • Hacker News: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders

    Source URL: https://github.com/PaulPauls/llama3_interpretability_sae Source: Hacker News Title: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a research project focused on the interpretability of the Llama 3 language model using Sparse Autoencoders (SAEs). This project aims to extract more clearly interpretable features from…