Update README.md

README.md

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 FinGPT-Forecaster takes random market news and optional basic financials related to the specified company from the past few weeks as input and responds with the company's **positive developments** and **potential concerns**. Then it gives out a **prediction** of stock price movement for the coming week and its **analysis** summary.
 
-This model is finetuned on Llama2-7b-chat-hf with LoRA on the past year's DOW30 market data. Inference in this demo uses fp16 and **welcomes any ticker symbol**.
+This model is finetuned on Llama2-7b-chat-hf with LoRA on the past year's DOW30 market data, but **welcomes any ticker symbol** in this demo.
 
 Company profile & Market news & Basic financials & Stock prices are retrieved using **yfinance & finnhub**.
 
-This is just a demo showing what this model is capable of. Results inferred from randomly chosen news can be strongly biased.
+This is just a demo showing what this model is capable of. Results inferred from randomly chosen news can be strongly biased. For more detailed and customized implementation, refer to our **FinGPT project** <https://github.com/AI4Finance-Foundation/FinGPT>
 
-For more detailed and customized implementation, refer to our **FinGPT project** <https://github.com/AI4Finance-Foundation/FinGPT>
+Due to cost considerations, we have downgraded the demo to using **T4 with 8-bit inference**. As a result, the speed and performance may not meet expectations. If necessary, we recommend redeploying according to your own requirements.
 
 **Disclaimer: Nothing herein is financial advice, and NOT a recommendation to trade real money. Please use common sense and always first consult a professional before trading or investing.**