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Lino Giger

LinoGiger
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reacted to jasoncorkill's post with 🤯 6 days ago
Integrating human feedback is vital for evolving AI models. Boost quality, scalability, and cost-effectiveness with our crowdsourcing tool! ..Or run A/B tests and gather thousands of responses in minutes. Upload two images, ask a question, and watch the insights roll in! Check it out here and let us know your feedback: https://app.rapidata.ai/compare
reacted to jasoncorkill's post with 🚀 9 days ago
This dataset was collected in roughly 4 hours using the Rapidata Python API, showcasing how quickly large-scale annotations can be performed with the right tooling! All that at less than the cost of a single hour of a typical ML engineer in Zurich! The new dataset of ~22,000 human annotations evaluating AI-generated videos based on different dimensions, such as Prompt-Video Alignment, Word for Word Prompt Alignment, Style, Speed of Time flow and Quality of Physics. https://huggingface.co/datasets/Rapidata/text-2-video-Rich-Human-Feedback
reacted to jasoncorkill's post with ❤️ 14 days ago
Runway Gen-3 Alpha: The Style and Coherence Champion Runway's latest video generation model, Gen-3 Alpha, is something special. It ranks #3 overall on our text-to-video human preference benchmark, but in terms of style and coherence, it outperforms even OpenAI Sora. However, it struggles with alignment, making it less predictable for controlled outputs. We've released a new dataset with human evaluations of Runway Gen-3 Alpha: Rapidata's text-2-video human preferences dataset. If you're working on video generation and want to see how your model compares to the biggest players, we can benchmark it for you. 🚀 DM us if you’re interested! Dataset: https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-runway-alpha
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LinoGiger's activity

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