Platypus: Dataset Curation and Adapters for Better Large Language Models
Last Updated on August 18, 2023 by Editorial Team
Author(s): Benjamin Marie
Originally published on Towards AI.
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Meta’s Llama 2 was released one month ago and many are working on fine-tuning it for specific tasks. In the same trend, Boston University proposes Platypus (Lee et al., 2023), Llama 2 fine-tuned with adapters and curated datasets.
Platypus is now (August 16th) at the first rank on the OpenLLM leaderboard.
The method proposed in this work is nothing really new. It relies on LoRa adapters and careful dataset curation. It’s nonetheless impressive in its demonstration that a new state-of-the-art… Read the full blog for free on Medium.
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