Why FinGPT?
- 1). 金融是高度动态的。BloombergGPT使用金融和通用数据源的混合数据集重新训练LLM,这太昂贵了(130万GPU小时,成本约为500万美元)。每月或每周对LLM模型进行再培训的成本很高,因此轻量级适应在金融领域非常有利。
- 2). 互联网规模的金融数据民主化至关重要,这应该允许使用自动数据管理管道及时更新(每月或每周更新)。但是,BloombergGPT拥有特权数据访问和API。
- 3). 关键技术是“RLHF(从人类反馈中强化学习)”,这在BloombergGPT中是缺失的。RLHF使LLM模型能够学习个人偏好(风险规避水平、投资习惯、个性化机器人顾问等),这是ChatGPT和GPT4的“秘密”优势。
News
ChatGPT at AI4Finance
Introductory
The Journey of Open AI GPT models. GPT models explained. Open AI's GPT-1, GPT-2, GPT-3.
(Financial) Big Data
Interesting Demos
- GPT-3 Creative Fiction Creative writing by OpenAI’s GPT-3 model, demonstrating poetry, dialogue, puns, literary parodies, and storytelling. Plus advice on effective GPT-3 prompt programming & avoiding common errors.
ChatGPT for FinTech
ChatGPT Trading Bot
(Fast and accurate) Sentiment Analysis
GPT-3 can help study customer surveys, social media tweets from customers/users.
Tweets
PromptNet Analogy to ImageNet and WordNet, it is critical to build a PromptNet.
Robo-advisor
Coding-tutor
Blogs about ChatGPT for FinTech
ChatGPT APIs
Prompting as a new programming paradigm!
Prompting programming
ChatGPT relatives:
A Release Timeline of many LLMs.
PaLM
Chincella
Interesting evaluations:
[YouTube] Physics Solution: ChatGPT vs. Google
Links