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https://www.argilla.io/
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AI & ML interests

LLMs, NLP, Alignment, DPO, RLHF, data labeling, text-classification, text-generation, token-classification

Recent Activity

burtenshaw  authored a paper about 2 months ago
A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects
dvilasuero  updated a dataset 4 months ago
argilla/distilabel-intel-orca-dpo-pairs
davidberenstein1957  updated a dataset 8 months ago
argilla/distilabel-intel-orca-dpo-pairs
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argilla 's collections 10

Synthetic Data Generator
A collection of tools and datasets related to no-code the Synthetic Data Generation.
DIBT Prompt collective SPIN
This collection contains resources related to the replication of SPIN with the dibt prompt collective dataset
Preference Datasets for KTO
This collection contains a list of curated preference datasets for KTO fine-tuning for intent alignment of LLMs through signals.
Datasets built with ⚗️ distilabel
This collection contains some datasets generated and/or labelled using https://github.com/argilla-io/distilabel
Argilla v2.0 compatible datasets
Ready for rg.Dataset.from_hub(). Each dataset contains a my_dataset_name/tree/main/creation_script.py to see the fullconfig and creation pipeline.
Notux 8x7B v1
Notux 8x7B v1 model (DPO fine-tune of Mixtral 8x7B Instruct v0.1) and datasets used. More information at https://github.com/argilla-io/notus
Preference Datasets for DPO
This collection contains a list of curated preference datasets for DPO fine-tuning for intent alignment of LLMs
Synthetic Data Generator
A collection of tools and datasets related to no-code the Synthetic Data Generation.
Datasets built with ⚗️ distilabel
This collection contains some datasets generated and/or labelled using https://github.com/argilla-io/distilabel
Argilla v2.0 compatible datasets
Ready for rg.Dataset.from_hub(). Each dataset contains a my_dataset_name/tree/main/creation_script.py to see the fullconfig and creation pipeline.
Notux 8x7B v1
Notux 8x7B v1 model (DPO fine-tune of Mixtral 8x7B Instruct v0.1) and datasets used. More information at https://github.com/argilla-io/notus
DIBT Prompt collective SPIN
This collection contains resources related to the replication of SPIN with the dibt prompt collective dataset
Preference Datasets for DPO
This collection contains a list of curated preference datasets for DPO fine-tuning for intent alignment of LLMs
Preference Datasets for KTO
This collection contains a list of curated preference datasets for KTO fine-tuning for intent alignment of LLMs through signals.