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FinNLP provides a playground for all people interested in LLMs and NLP in Finance. Here we provide full pipelines for LLM training and finetuning in the field of finance.
The LongForm dataset is created by leveraging English corpus examples with the reverse instructions method. We select a diverse set of human-written documents from existing corpora such as C4 and Wikipedia and generate instructions for the given documents via LLMs. Then, we extend these examples…
[EMNLP 2024] 中文领域心理健康对话大模型MeChat
The main features of qiuhuachuan/smile are: Domain Specific Datasets, Medical Domain Models, Instruction Datasets.
Projects with overlapping indexed features include: 2020meai/tcmllm — 中医药大模型. ai4finance-foundation/finnlp — FinNLP provides a playground for all people interested in LLMs and NLP in Finance. Here we provide full pipelines for… akoksal/longform — The LongForm dataset is created by leveraging English corpus examples with the reverse instructions method. We select… chaoyi-wu/pmc-llama — The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine". cluebenchmark/pclue. 189569400/medicalgpt-zh — 本项目开源了基于医疗指令微调的中文医疗问诊模型：明医 (MING)。目前模型的主要功能如下：.
