FinGPT vs 盖酷AI实验室:怎么选?

下面把两款工具的关键信息逐项放在一起对照。 两者同属「AI 聊天」分类,属于直接竞品。

A

FinGPT

开源金融大语言模型,FinGPT官网入口网址

免费 🌍 国外 AI 聊天
B

盖酷AI实验室

酷盖AI实验室,人工智能,OpenAI,智能聊天工具

免费 🇨🇳 国内 AI 聊天

📊 参数逐项对照

对比项 FinGPT 盖酷AI实验室
价格模式 免费 免费
来源地区 🌍 国外 🇨🇳 国内
所属分类 AI 聊天 AI 聊天
用户评分 暂无评分 暂无评分
热度(浏览量) 56 156
付费说明
替代品 FinGPT 的替代品 → 盖酷AI实验室 的替代品 →

📖 详细介绍

FinGPT 是什么?

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

核心功能

  • AI CODE CREATIONGitHub CopilotWrite better code with AIGitHub Copilot appDirect agents from issue to mergeMCP RegistryNewIntegrate external tools(自动优化版)
  • GitHub CopilotWrite better code with AI(自动优化版)
  • GitHub Copilot appDirect agents from issue to merge(自动优化版)
  • MCP RegistryNewIntegrate external tools(自动优化版)
  • DEVELOPER WORKFLOWSActionsAutomate any workflowCodespacesInstant dev environmentsIssuesPlan and track workCode ReviewManage code changes(自动优化版)
  • ActionsAutomate any workflow(自动优化版)
  • CodespacesInstant dev environments(自动优化版)
  • IssuesPlan and track work(自动优化版)

盖酷AI实验室 是什么?

盖酷AI实验室是一款基于OpenAI技术的智能聊天工具,专注于为用户提供自然流畅的对话体验和多样化的AI交互服务。其核心功能包括智能对话生成,能够理解复杂语境并给出精准回复,支持多轮深度交流;同时内置创意写作助手,可协助用户完成文案、故事或邮件等文本创作;此外还具备知识问答能力,覆盖科技、文化、生活等领域的实时信息解答。这款工具适合需要高效获取信息的内容创作者、学生以及职场人士,尤其适用于日常学习辅导、工作沟通辅助或灵感激发时的快速咨询,帮助用户节省时间并提升效率。

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