update prompt info

README.md

@@ -11,7 +11,7 @@ tags:
   - sft
 pipeline_tag: text-generation
 widget:
-  - text: <|system|>You are an AI assistant. Provide a detailed answer.</s><|prompter|>What is a meme, and what's the history behind this word?</s><|assistant|>
+  - text: <|system|>You are an AI assistant. You will be given a task. You must generate a detailed and long answer.</s><|prompter|>What is a meme, and what's the history behind this word?</s><|assistant|>
   - text: <|prompter|>What's the Earth total population</s><|assistant|>
   - text: <|prompter|>Write a story about future of AI development</s><|assistant|>
 ---
@@ -33,7 +33,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 tokenizer = AutoTokenizer.from_pretrained("OpenAssistant/llama2-13b-orca-8k-3319", use_fast=False)
 model = AutoModelForCausalLM.from_pretrained("OpenAssistant/llama2-13b-orca-8k-3319", torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map="auto")
 
-system_message = "You are an AI assistant. Provide a detailed answer so user don’t need to search outside to understand the answer."
+system_message = "You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information."
 user_prompt = "Write me a poem please"
 prompt = f"""<|system|>{system_message}</s><|prompter|>{user_prompt}</s><|assistant|>"""
 inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
@@ -59,7 +59,7 @@ HF transformers >=4.31.0 is installed (`pip install transformers>=4.31.0`).
 
 ## Conversation Template
 
-For the initial response use (the system message is optional):
+For the initial response use (e.g. the [llama2 default system prompt](https://github.com/facebookresearch/llama/blob/6c7fe276574e78057f917549435a2554000a876d/llama/generation.py#L46) works well):
 
 ```
 <|system|>system message</s><|prompter|>user prompt</s><|assistant|>