Experimental News Clipping Site

Tag: generative model

  • AWS News Blog: Meet your training timelines and budgets with new Amazon SageMaker HyperPod flexible training plans

    —

    by

    system automation
    in

    Source URL: https://aws.amazon.com/blogs/aws/meet-your-training-timelines-and-budgets-with-new-amazon-sagemaker-hyperpod-flexible-training-plans/ Source: AWS News Blog Title: Meet your training timelines and budgets with new Amazon SageMaker HyperPod flexible training plans Feedly Summary: Unlock efficient large model training with SageMaker HyperPod flexible training plans – find optimal compute resources and complete training within timelines and budgets. AI Summary and Description: Yes **Summary:** The announcement…

  • The Register: Panasonic brings its founder back to life as an AI

    —

    by

    system automation
    in

    Source URL: https://www.theregister.com/2024/11/29/panasonic_ai_founder/ Source: The Register Title: Panasonic brings its founder back to life as an AI Feedly Summary: Digital clone of Kōnosuke Matsushita to dispense management advice to new generation Japanese multinational electronics mainstay Panasonic – founded in 1918 as Matsushita Electric Housewares Manufacturing Works –has created an AI version of its long deceased…

  • Hacker News: A Deep Dive into DDPMs

    —

    by

    system automation
    in

    Source URL: https://magic-with-latents.github.io/latent/posts/ddpms/part3/ Source: Hacker News Title: A Deep Dive into DDPMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text delves into the mathematical and algorithmic underpinnings of Diffusion Models (DDPMs) for generating images, focusing on the forward and reverse processes involved in sampling from the distributions. It highlights both the complications…

  • Cloud Blog: Build an AI agent for trip planning with Gemini 1.5 Pro: A step-by-step guide

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/learn-how-to-create-an-ai-agent-for-trip-planning-with-gemini-1-5-pro/ Source: Cloud Blog Title: Build an AI agent for trip planning with Gemini 1.5 Pro: A step-by-step guide Feedly Summary: Gemini 1.5 Pro is creating new possibilities for developers to build AI agents that streamline the customer experience. In this post, we’ll focus on a practical application that has emerged in the…

  • Hacker News: AI’s Slowdown Is Everyone Else’s Opportunity

    —

    by

    system automation
    in

    Source URL: https://www.bloomberg.com/opinion/articles/2024-11-20/ai-slowdown-is-everyone-else-s-opportunity Source: Hacker News Title: AI’s Slowdown Is Everyone Else’s Opportunity Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a critical perspective on the contemporary challenges facing artificial intelligence, particularly generative models. It highlights a shift in expectations regarding the improvement of AI capabilities in relation to data and…

  • Simon Willison’s Weblog: Qwen: Extending the Context Length to 1M Tokens

    —

    by

    system automation
    in

    Source URL: https://simonwillison.net/2024/Nov/18/qwen-turbo/#atom-everything Source: Simon Willison’s Weblog Title: Qwen: Extending the Context Length to 1M Tokens Feedly Summary: Qwen: Extending the Context Length to 1M Tokens The new Qwen2.5-Turbo boasts a million token context window (up from 128,000 for Qwen 2.5) and faster performance: Using sparse attention mechanisms, we successfully reduced the time to first…

  • Hacker News: Diffusion models are evolutionary algorithms

    —

    by

    system automation
    in

    Source URL: https://gonzoml.substack.com/p/diffusion-models-are-evolutionary Source: Hacker News Title: Diffusion models are evolutionary algorithms Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a groundbreaking paper linking diffusion models and evolutionary algorithms, positing that both processes create novelty and generalization in data. This revelation is crucial for AI professionals, particularly in generative AI and…

  • Cloud Blog: Efficiency engine: How three startups deliver results faster with Vertex AI

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/topics/startups/how-three-startups-deliver-results-faster-with-vertex-ai/ Source: Cloud Blog Title: Efficiency engine: How three startups deliver results faster with Vertex AI Feedly Summary: Have you heard of the monkey and the pedestal? Astro Teller, the head of Google’s X “moonshot factory,” likes to use this metaphor to describe tackling the biggest challenge first, despite being tempted by the…

  • Hacker News: Iterative α-(de)blending and Stochastic Interpolants

    —

    by

    system automation
    in

    Source URL: http://www.nicktasios.nl/posts/iterative-alpha-deblending/ Source: Hacker News Title: Iterative α-(de)blending and Stochastic Interpolants Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reviews a paper proposing a method called Iterative α-(de)blending for simplifying the understanding and implementation of diffusion models in generative AI. The author critiques the paper for its partial clarity, discusses the…

  • Hacker News: Evaluating the World Model Implicit in a Generative Model

    —

    by

    system automation
    in

    Source URL: https://arxiv.org/abs/2406.03689 Source: Hacker News Title: Evaluating the World Model Implicit in a Generative Model Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper delves into the evaluation of world models implicitly learned by generative models, particularly large language models (LLMs). It highlights the potential limitations and fragilities of these models in…