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completions from "},{"type":"resource","resource":{"type":"dataset","id":"argilla/distilabel-capybara-dpo-7k-binarized"},"url":"https://huggingface.co/datasets/argilla/distilabel-capybara-dpo-7k-binarized","raw":"https://huggingface.co/datasets/argilla/distilabel-capybara-dpo-7k-binarized"},{"type":"text","value":", while also adding the remaining ones using the same approach!","raw":", while also adding the remaining ones using the same approach!"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Here are some key features on how we built it:","raw":"Here are some key features on how we built it:"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- 🧹 Duplicate removal, keeping the conversation besides the last assistant response, and some slight pre-processing","raw":"- 🧹 Duplicate removal, keeping the conversation besides the last assistant response, and some slight pre-processing"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- 🤖 Generation of alternative completions for the existing conversations (last turn only) with: ","raw":"- 🤖 Generation of alternative completions for the existing conversations (last turn only) with: "},{"type":"resource","resource":{"type":"model","id":"mlabonne/NeuralBeagle14-7B"},"url":"https://huggingface.co/mlabonne/NeuralBeagle14-7B","raw":"https://huggingface.co/mlabonne/NeuralBeagle14-7B"},{"type":"text","value":", ","raw":", "},{"type":"resource","resource":{"type":"model","id":"argilla/notus-7b-v1"},"url":"https://huggingface.co/argilla/notus-7b-v1","raw":"https://huggingface.co/argilla/notus-7b-v1"},{"type":"text","value":", and ","raw":", and "},{"type":"resource","resource":{"type":"model","id":"teknium/OpenHermes-2.5-Mistral-7B"},"url":"https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B","raw":"https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- 👨🏻‍🏫 Running UltraFeedback via GPT-4 to generate the critique i.e. ratings and rationales, for the last assistant responses","raw":"- 👨🏻‍🏫 Running UltraFeedback via GPT-4 to generate the critique i.e. ratings and rationales, for the last assistant responses"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"- 🎉 Finally, we selected the chosen and rejected responses based on their UltraFeedback score, and applied some slight post-processing!","raw":"- 🎉 Finally, we selected the chosen and rejected responses based on their UltraFeedback score, and applied some slight post-processing!"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Sounds simple right? Start building your own synthetic datasets with ","raw":"Sounds simple right? Start building your own synthetic datasets with "},{"type":"link","href":"https://github.com/argilla-io/distilabel","raw":"https://github.com/argilla-io/distilabel"},{"type":"text","value":" already!","raw":" already!"}],"rawContent":"🦫 We have just released https://huggingface.co/datasets/argilla/Capybara-Preferences in collaboration with Kaist AI (@JW17, @nlee-208) and Hugging Face (@lewtun)\n\nA new synthetic preference dataset built using `distilabel` on top of the awesome https://huggingface.co/datasets/LDJnr/Capybara from @LDJnr \n\nThe current dataset combines the already generated alternative completions from https://huggingface.co/datasets/argilla/distilabel-capybara-dpo-7k-binarized, while also adding the remaining ones using the same approach!\n\nHere are some key features on how we built it:\n\n- 🧹 Duplicate removal, keeping the conversation besides the last assistant response, and some slight pre-processing\n\n- 🤖 Generation of alternative completions for the existing conversations (last turn only) with: https://huggingface.co/mlabonne/NeuralBeagle14-7B, https://huggingface.co/argilla/notus-7b-v1, and https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B\n\n- 👨🏻‍🏫 Running UltraFeedback via GPT-4 to generate the critique i.e. ratings and rationales, for the last assistant responses\n\n- 🎉 Finally, we selected the chosen and rejected responses based on their UltraFeedback score, and applied some slight post-processing!\n\nSounds simple right? 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Feel free to give it a try and chat with Notux, and let us know how it goes.","raw":"💬 Notux 8x7b has already its own Chat UI running on 🤗 Spaces! Feel free to give it a try and chat with Notux, and let us know how it goes."},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"link","href":"https://huggingface.co/spaces/argilla/notux-chat-ui","raw":"https://huggingface.co/spaces/argilla/notux-chat-ui"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Kudos to ","raw":"Kudos to "},{"type":"mention","user":"gabrielmbmb","raw":"@gabrielmbmb"},{"type":"text","value":"!","raw":"!"}],"rawContent":"💬 Notux 8x7b has already its own Chat UI running on 🤗 Spaces! Feel free to give it a try and chat with Notux, and let us know how it goes.\r\n\r\nhttps://huggingface.co/spaces/argilla/notux-chat-ui\r\n\r\nKudos to @gabrielmbmb!","author":{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/60f0608166e5701b80ed3f02/ZSIRRZgthYnTinV1wGE1N.jpeg","fullname":"Alvaro Bartolome","name":"alvarobartt","type":"user","isPro":false,"isHf":false,"isFollowing":false},"attachments":[],"mentions":[{"avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/60f2fc91b92afccb7c34b8ed/whF6nGtyTAhbtiWJJnL9e.png","fullname":"Gabriel Martín 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