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@@ -38,6 +38,24 @@ Let us not expect Wall Street to open-source LLMs or open APIs, due to FinTech i
3). The key technology is "RLHF (Reinforcement learning from human feedback)", which is missing in BloombergGPT. RLHF enables an LLM model to learn individual preferences (risk-aversion level, investing habits, personalized robo-advisor, etc.), which is the "secret" ingredient of ChatGPT and GPT4.
### Milestone of AI Robo-Advisor: FinGPT-Forecaster
Try the latest released FinGPT-Forecaster demo at our [HuggingFace Space](https://huggingface.co/spaces/FinGPT/FinGPT-Forecaster)
![demo_interface](fingpt/FinGPT_Forecaster/figs/interface.png)
Enter the following inputs:
1) ticker symbol (e.g. AAPL, MSFT, NVDA)
2) the day from which you want the prediction to happen (yyyy-mm-dd)
3) the number of past weeks where market news are retrieved
4) whether to add the latest basic financials as additional information
Click Submit！ And you'll be responded with a well-rounded analysis of the company and a prediction for next week's stock price movement!
For detailed and more customized implementation, please refer to [FinGPT-Forecaster](https://github.com/AI4Finance-Foundation/FinGPT/tree/master/fingpt/FinGPT_Forecaster)
## FinGPT Demos:
### Current State-of-the-arts for Financial Sentiment Analysis
@@ -73,25 +91,6 @@ Let us not expect Wall Street to open-source LLMs or open APIs, due to FinTech i
* [FinGPT V1](./fingpt)
+ **FinGPT by finetuning ChatGLM2 / Llama2 with LoRA with the market-labeled data for the Chinese Market**
### Milestone of AI Robo-Advisor: FinGPT-Forecaster
Try the latest released FinGPT-Forecaster demo at our [HuggingFace Space](https://huggingface.co/spaces/FinGPT/FinGPT-Forecaster)
![demo_interface](fingpt/FinGPT_Forecaster/figs/interface.png)
Enter the following inputs:
1) ticker symbol (e.g. AAPL, MSFT, NVDA)
2) the day from which you want the prediction to happen (yyyy-mm-dd)
3) the number of past weeks where market news are retrieved
4) whether to add the latest basic financials as additional information
Click Submit！ And you'll be responded with a well-rounded analysis of the company and a prediction for next week's stock price movement!
For detailed and more customized implementation, please refer to [FinGPT-Forecaster](https://github.com/AI4Finance-Foundation/FinGPT/tree/master/fingpt/FinGPT_Forecaster)
## Instruction Tuning Datasets and Models
The datasets we used, and the **multi-task financial LLM** models are available at <https://huggingface.co/FinGPT>