To what extent are we responsible for our content and how to create safer Spaces?
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David Berenstein
davidberenstein1957
AI & ML interests
Everything NLP and knowledge graphs
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1051
Why is argilla/FinePersonas-v0.1 great for synthetic data generation? It can be used to synthesise realistic and diverse data of the customer personas your company is interested in!
Dataset: argilla/FinePersonas-v0.1
Example usage: https://distilabel.argilla.io/dev/sections/pipeline_samples/examples/fine_personas_social_network/
Dataset: argilla/FinePersonas-v0.1
Example usage: https://distilabel.argilla.io/dev/sections/pipeline_samples/examples/fine_personas_social_network/
Post
795
We've got a number of great community meetups coming up again where we'll be discussing the basics of getting started and using Argilla for TextCat, TokenCat/NER and RAG. We will walk you through common scenario's and everything you might need to know to get your projects started.
First meetup that is coming up: Setting up a text classification project using Argilla and SetFit!
Deploy Argilla on Spaces
Vibe check your dataset
Configure and create an Argilla dataset
Add records
Add zero-shot suggestions
Evaluate model suggestions in Argilla
Train a SetFit model
Hope to see all of you guys there and looking forward to your questions and AI use cases. Don't be shy about bringing your own issues and questions to the table. We would love to answer them.
Sign up here: https://lu.ma/31mecp34
First meetup that is coming up: Setting up a text classification project using Argilla and SetFit!
Deploy Argilla on Spaces
Vibe check your dataset
Configure and create an Argilla dataset
Add records
Add zero-shot suggestions
Evaluate model suggestions in Argilla
Train a SetFit model
Hope to see all of you guys there and looking forward to your questions and AI use cases. Don't be shy about bringing your own issues and questions to the table. We would love to answer them.
Sign up here: https://lu.ma/31mecp34
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Text To SQL Hub Datasets
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Gradio Annotator - Text Classification Multi Label
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Human Feedback Collector | Meta-Llama-3.1-8B-Instruct | (KTO)
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Human Feedback Collector | Meta-Llama-3.1-8B-Instruct | (DPO)
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davidberenstein1957/ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter2
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davidberenstein1957/ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter1
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davidberenstein1957/ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter0
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davidberenstein1957/phi-2-distilabeled-intel-orca-dpo
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davidberenstein1957/llm-human-feedback-collector-chat-interface-kto
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davidberenstein1957/image-generation-flux1-schnell
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davidberenstein1957/dataset-viber-image-generation-preference-inference-endpoints-battle-flux
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davidberenstein1957/naturally_occurring_feedback_per_loading_mode
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