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RLHF, Model Evaluation, Benchmarks, Data Labeling, Human Feedback, Computer Vision, Image Generation, Video Generation, LLMs, Translations

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RapidataAI  new activity about 8 hours ago
Rapidata/Translation-deepseek-llama-mixtral-v-deepl:docs: replace removed order API with jobs in README
RapidataAI  new activity about 8 hours ago
Rapidata/Translation-gpt4o_mini-v-gpt4o-v-deepl:docs: replace removed order API with jobs in README
RapidataAI  new activity about 8 hours ago
Rapidata/text-2-image-Rich-Human-Feedback-32k:docs: replace removed order API with jobs in README
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Rapidata 's collections 8

Video Model Releases
One dataset per launch, text-to-video and image-to-video. Veo, Sora, Kling, Pika, Seedance, ranked by real humans.
Research & Human Behaviour
What people think when no model is involved: where the future sits in your head, which sounds feel round, how our crowd compares to Prolific.
Text-to-Image Model Releases
One dataset per launch. A new image model ships, we put it in front of thousands of people, and publish how it actually did against other SOTA models.
Foundational Preference Sets
The 2M+ annotations our first benchmarks were built on: Flux, SD3, Midjourney and DALL·E 3, split into preference, coherence and prompt alignment.
Text-to-Image Model Releases
One dataset per launch. A new image model ships, we put it in front of thousands of people, and publish how it actually did against other SOTA models.
Video Model Releases
One dataset per launch, text-to-video and image-to-video. Veo, Sora, Kling, Pika, Seedance, ranked by real humans.
Foundational Preference Sets
The 2M+ annotations our first benchmarks were built on: Flux, SD3, Midjourney and DALL·E 3, split into preference, coherence and prompt alignment.
Research & Human Behaviour
What people think when no model is involved: where the future sits in your head, which sounds feel round, how our crowd compares to Prolific.