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dvilasuero
searching PlanetScale…
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by
dvilasuero
1y ago
Hey! I'm part of the AI Sheets team. Looking forward to seeing what you think, feedback and ideas are super welcome! We also wrote a blog post with more details:
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Hugging Face AI Sheets, open-source tool to vibe test models on your datasets
(github.com)
3 points
by
dvilasuero
1y ago
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1 comments
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Show HN: Hugging Face Sheets – Excel meets unstructured data and open LLMs
(huggingface.co)
1 points
by
dvilasuero
1y ago
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0 comments
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by
dvilasuero
2y ago
love it!
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Distilabel: Synthetic Data Generation and Rlaif at Scale
(argilla.io)
4 points
by
dvilasuero
2y ago
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1 comments
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by
dvilasuero
2y ago
Hey! At Argilla, we've been using our previous version of distilabel to build open preference datasets used by 100s of models and top performing models like zephyr-141b. Today we're releasing distilabel 1.0.0. We've totally r
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Notus-7B: New OSS LLM Outshines Zephyr and Claude 2 with a Data-First Approach
(argilla.io)
2 points
by
dvilasuero
3y ago
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1 comments
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by
dvilasuero
3y ago
Model: https://huggingface.co/argilla/notus-7b-v1 Chat UI: https://huggingface.co/spaces/argilla/notus-chat-ui
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Open-source AI Feedback framework for scalable LLM Alignment
(github.com)
13 points
by
dvilasuero
3y ago
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2 comments
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by
dvilasuero
3y ago
Hey there! We've just released a new open-source project for AI feedback to build datasets for RLHF-related methods (like DPO). Recent projects like Zephyr and Tulu from AllenAI have shown it's possible to build powerful open-sour
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by
dvilasuero
3y ago
I'm Dani, CEO and co-founder of Argilla. Happy to answer any questions you might have and excited to hear your thoughts! More about Argilla GitHub: https://github.com/argilla-io/argilla Docs: https://do
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by
dvilasuero
3y ago
We're very much looking forward to seeing Falcon-40B support on llama.cpp. For production use cases, this is also highly relevant: https://huggingface.co/blog/sagemaker-huggingface-llm
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dvilasuero
3y ago
Thanks Anakin! we want to bring the data-centric approach to how LLMs are built and fine-tuned too.
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by
dvilasuero
3y ago
Thanks! The main difference is that Argilla is built as an open-source component to be integrated into the wider MLOps/LLMOps stack. The focus being on continous data collection, monitoring, and fine-tuning with open-source and commerc
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Open-Source Data Collection Platform for LLM Fine-Tuning and RLHF
(argilla.io)
115 points
by
dvilasuero
3y ago
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11 comments