FinGPT vs 堆友Agent：怎么选？

关于 FinGPT

@article{yang2023fingpt_open, title = {FinGPT: Open-Source Financial Large Language Models}, author = {Yang, Hongyang and Liu, Xiao-Yang and Wang, Christina Dan}, journal = {arXiv preprint arXiv:2306.06031}, year = {2023}, url = {https://arxiv.org/abs/2306.06031}, note = {First official FinGPT paper; FinLLM Workshop at IJCAI 2023} } @article{zhang2023instructfingpt, title={Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models}, author={Boyu Zhang and Hongyang Yang and Xiao-Yang Liu}, journal={FinLLM Symposium at IJCAI 2023}, year={2023} } @article{zhang2023fingptrag, title={Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models}, author={Zhang, Boyu and Yang, Hongyang and Zhou, tianyu and Babar, Ali and Liu, Xiao-Yang}, journal = {ACM International Conference on AI in Finance (ICAIF)}, year={2023} } @article{liang2024fingpt, title={FinGPT: enhancing sentiment-based stock movement prediction with dissemination-aware and context-enriched LLMs}, author={Liang, Yixuan and Liu, Yuncong and Wang, Neng and Yang, Hongyang and Zhang, Boyu and Wang, Christina Dan}, journal={AAAI 2025 Workshop GoodData}, year={2025} } @article{wang2023fingptbenchmark, title={FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets}, author={Wang, Neng and Yang, Hongyang and Wang, Christina Dan}, journal={NeurIPS Workshop on Instruction Tuning and Instruction Following}, year={2023} } @article{2023finnlp, title={Data-centric FinGPT: Democratizing Internet-scale Data for Financial Large Language Models}, author={Liu, Xiao-Yang and Wang, Guoxuan and Yang, Hongyang and Zha, Daochen}, journal={NeurIPS Workshop on Instruction Tuning and Instruction Following}, year={2023} }

demo_tasks=['Financial Sentiment Analysis','Financial Relation Extraction','Financial Headline Classification','Financial Named Entity Recognition',]demo_inputs=["Glaxo's ViiV Healthcare Signs China Manufacturing Deal With Desano","Apple Inc. Chief Executive Steve Jobs sought to soothe investor concerns about his health on Monday, saying his weight loss was caused by a hormone imbalance that is relatively simple to treat.",'gold trades in red in early trade; eyes near-term range at rs 28,300-28,600','This LOAN AND SECURITY AGREEMENT dated January 27 , 1999 , between SILICON VALLEY BANK (" Bank "), a California - chartered bank with its principal place of business at 3003 Tasman Drive , Santa Clara , California 95054 with a loan production office located at 40 William St ., Ste .',]demo_instructions=['What is the sentiment of this news? Please choose an answer from {negative/neutral/positive}.','Given phrases that describe the relationship between two words/phrases as options, extract the word/phrase pair and the corresponding lexical relationship between them from the input text. The output format should be "relation1: word1, word2; relation2: word3, word4". Options: product/material produced, manufacturer, distributed by, industry, position held, original broadcaster, owned by, founded by, distribution format, headquarters location, stock exchange, currency, parent organization, chief executive officer, director/manager, owner of, operator, member of, employer, chairperson, platform, subsidiary, legal form, publisher, developer, brand, business division, location of formation, creator.','Does the news headline talk about price going up? Please choose an answer from {Yes/No}.','Please extract entities and their types from the input sentence, entity types should be chosen from {person/organization/location}.',]

Folders and filesNameNameLast commit messageLast commit dateLatest commitHistory687 Commits687 Commits.github.github.idea.ideafigsfigsfingptfingptfinogridfinogridteststests.gitignore.gitignore.gitpod.yml.gitpod.ymlCODE_OF_CONDUCT.mdCODE_OF_CONDUCT.mdCONTRIBUTING.mdCONTRIBUTING.mdFinGPT_ Training with LoRA and Meta-Llama-3-8B.ipynbFinGPT_ Training with LoRA and Meta-Llama-3-8B.ipynbFinGPT_Inference_Llama2_13B_falcon_7B_for_Beginners.ipynbFinGPT_Inference_Llama2_13B_falcon_7B_for_Beginners.ipynbFinGPT_Training_LoRA_with_ChatGLM2_6B_for_Beginners.ipynbFinGPT_Training_LoRA_with_ChatGLM2_6B_for_Beginners.ipynbFinGPT_Training_LoRA_with_ChatGLM2_6B_for_Beginners_v2-2.ipynbFinGPT_Training_LoRA_with_ChatGLM2_6B_for_Beginners_v2-2.ipynbLICENSELICENSEMANIFEST.inMANIFEST.inREADME.mdREADME.mdUse_Cases.mdUse_Cases.mdrequirements.txtrequirements.txtsetup.pysetup.pyView all files

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• MCP RegistryNewIntegrate external tools（自动优化版）
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堆友Agent是一款全能型AI图像与视频创作工具，集智能聊天、创意生成与高效编辑于一体。它的核心功能包括AI图像生成，只需输入文字描述即可快速产出高质量图片，支持多种风格与细节调整；AI视频创作，能根据脚本或提示自动生成短视频，并提供剪辑、特效与配音等一键化处理；此外，内置的智能聊天助手可随时解答创作疑问，提供灵感建议。这款工具适合设计师、短视频创作者、自媒体运营人员以及需要快速产出视觉内容的营销从业者。无论是构思海报、制作产品宣传视频，还是为社交媒体生成配图，堆友Agent都能显著提升效率，让创意落地更加轻松。