Tag: generative model
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Cloud Blog: Build an AI agent for trip planning with Gemini 1.5 Pro: A step-by-step guide
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…
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Hacker News: AI’s Slowdown Is Everyone Else’s Opportunity
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…
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Simon Willison’s Weblog: Qwen: Extending the Context Length to 1M Tokens
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…
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Hacker News: Iterative α-(de)blending and Stochastic Interpolants
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…
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Hacker News: When does generative AI qualify for fair use?
Source URL: http://suchir.net/fair_use.html Source: Hacker News Title: When does generative AI qualify for fair use? Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text examines the complexities surrounding the fair use of copyrighted materials in the training processes of generative AI models, particularly focusing on ChatGPT. It articulates how fair use considerations, as…
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OpenAI : Simplifying, stabilizing, and scaling continuous-time consistency models
Source URL: https://openai.com/index/simplifying-stabilizing-and-scaling-continuous-time-consistency-models Source: OpenAI Title: Simplifying, stabilizing, and scaling continuous-time consistency models Feedly Summary: We’ve simplified, stabilized, and scaled continuous-time consistency models, achieving comparable sample quality to leading diffusion models, while using only two sampling steps. AI Summary and Description: Yes Summary: The text highlights advancements in continuous-time consistency models within the realm of…
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Hacker News: RunwayML releases Act One: obsoleting traditional motion capture
Source URL: https://runwayml.com/research/introducing-act-one Source: Hacker News Title: RunwayML releases Act One: obsoleting traditional motion capture Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Runway has launched Act-One, an innovative tool that enables the generation of expressive character animations from simple video inputs. This development presents a significant advancement in generative models, by simplifying the…