FinGPT vs 秘塔AI搜索: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

秘塔AI搜索

秘塔AI搜索,没有广告,直达结果

免费 🇨🇳 国内 AI 聊天

📊 参数逐项对照

对比项 FinGPT 秘塔AI搜索
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 ⭐ 5.0
热度(浏览量) 56 203
付费说明
替代品 FinGPT 的替代品 → 秘塔AI搜索 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)

秘塔AI搜索 是什么?

秘塔AI搜索是一款无广告、直达结果的AI聊天工具,旨在提供高效、精准的信息检索体验。其核心功能包括智能语义理解,能快速解析用户问题并给出准确答案;结构化结果呈现,将信息以摘要、关键词或关联内容形式清晰展示,省去手动筛选的麻烦;以及多轮对话能力,支持追问和深入探讨,让信息获取更自然流畅。这款工具适合需要快速获取权威信息的研究者、内容创作者、学生及职场人士。使用场景覆盖日常知识查询、学术资料整理、行业趋势分析、写作灵感搜集等,尤其适合对信息时效性和准确性要求较高的用户。

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