Resources for Sound Processing
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John6666
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stepfun-ai/Step-Audio-Chat
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x1101/dataset_2025
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📢 For those who start to work with LLM streaming in web, here is a minimalistic example in JS for accessing server hosted by FastAPI via REST:
https://gist.github.com/nicolay-r/840425749cf6d3e397da3d329e894d59
The code above is a revised verison for accessing Replicate API posted earlier
https://huggingface.co/posts/nicolay-r/390307941200307
The key difference from Replicate API:
- using only POST for passing a body with parameters and fetching the reader.
https://gist.github.com/nicolay-r/840425749cf6d3e397da3d329e894d59
The code above is a revised verison for accessing Replicate API posted earlier
https://huggingface.co/posts/nicolay-r/390307941200307
The key difference from Replicate API:
- using only POST for passing a body with parameters and fetching the reader.
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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.
Rapidata/text-2-video-Rich-Human-Feedback
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.
Rapidata/text-2-video-Rich-Human-Feedback
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