Instruction fine-tuning Large Language Models for tax practice using quantization and LoRA: a boilerplate
You can now check out my project entitled "Instruction fine-tuning Large Language Models for tax practice using quantization and LoRA: a boilerplate", on GitHub 🖥️
It highlights a methodology aimed at addressing one of the major challenges in the field of NLP for tax practice: the ability of LLMs to efficiently adapt to business problems for the production of high-quality results and the reduction of syntactic ambiguity.
Based on the notion of transformers and the work of Hugging Face and AI at Meta, this project is still at the proof-of-concept stage and requires further development before potential production. However, it does offer some keys to understanding for professionals concerned about the use of generative ai in the practice of the fiscal profession.
Instruction fine-tuning Large Language Models for French tax practice using transformers, model quantization and LoRA: a boilerplate. - GitH