Update README.md

README.md

@@ -9,4 +9,13 @@ app_file: app.py
 pinned: false
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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Advanced Dual Prompting
+
+This is a playground for testing out Standford's 'Meta-Prompting' logic ([paper link](https://arxiv.org/abs/2401.12954)), in whcih for every user request, it first passes the request to a 'meta' bot, the `meta` bot will generate a system prompt of a field-related 'Expert' bot for answering user's request.  
+That is, for each round, the LLM accordingly assigns the best expert for answering user's specific request.  
+Standford claimed that this simple implementation result in a 60%+ better accuracy compared to a standard 'syst_prompt + chat_history' logic.  
+Hence, one can't be too curious in checking it out, here is a simple implemnetaion for everybody to play around.  
+
+Something to keep in mind:
+1. Currently it requires an api key from chatglm (get one here if you don't have one: [link](https://open.bigmodel.cn/usercenter/apikeys))
+2. To balanced between contextual-understanding and token-saving, the meta bot's logic is modified to have access to only the last round of chat and the current user request when 'generating' an expert, for now.