A talk by Clemens Schroeer from Lemon AI.
This session covers Data Curation for Open Source LLM Fine-Tuning.
Everyone wants to fine-tune open source LLMs, but a lack of high quality data makes this hard. Even the data that companies do have is difficult to understand, making it challenging to iterate towards a high quality dataset that will provide good results from fine-tuning. Clemens will share his experience curating datasets to fine-tune models such as Mistral 7B and discuss some of the challenges that should be taken into consideration.
Technical Level: Technical practitioner
This session was part of the Data Science Festival MayDay event 2024. Find out more at datasciencefestival.com/event...
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