了解如何使用 ChatGPT 和 GPT-4 模型

import osimport openaiopenai.api_type = "azure"openai.api_version = "2023-05-15" openai.api_base = os.getenv("OPENAI_API_BASE")# Your Azure OpenAI resource's endpoint value.openai.api_key = os.getenv("OPENAI_API_KEY")response = openai.ChatCompletion.create(engine="gpt-35-turbo", # The deployment name you chose when you deployed the ChatGPT or GPT-4 model.messages=[{"role": "system", "content": "Assistant is a large language model trained by OpenAI."},{"role": "user", "content": "Who were the founders of Microsoft?"}])print(response)print(response['choices'][0]['message']['content'])

{"choices": [{"finish_reason": "stop","index": 0,"message": {"content": "The founders of Microsoft are Bill Gates and Paul Allen. They co-founded the company in 1975.","role": "assistant"}}],"created": 1679014551,"id": "chatcmpl-6usfn2yyjkbmESe3G4jaQR6bsScO1","model": "gpt-3.5-turbo-0301","object": "chat.completion","usage": {"completion_tokens": 86,"prompt_tokens": 37,"total_tokens": 123}}

{"role": "system", "content": "Provide some context and/or instructions to the model"},{"role": "user", "content": "The users messages goes here"}

{"role": "system", "content": "Provide some context and/or instructions to the model."},{"role": "user", "content": "Example question goes here."},{"role": "assistant", "content": "Example answer goes here."},{"role": "user", "content": "First question/message for the model to actually respond to."}

 {"role": "user", "content": "What is thermodynamics?"}

{"role": "system", "content": "Assistant is a large language model trained by OpenAI."},{"role": "user", "content": "Who were the founders of Microsoft?"}

{"role": "system", "content": "Assistant is an intelligent chatbot designed to help users answer their tax related questions.Instructions: - Only answer questions related to taxes. - If you're unsure of an answer, you can say "I don't know" or "I'm not sure" and recommend users go to the IRS website for more information. "},{"role": "user", "content": "When are my taxes due?"}

{"role": "system", "content": "Assistant is an intelligent chatbot designed to help users answer technical questions about Azure OpenAI Serivce. Only answer questions using the context below and if you're not sure of an answer, you can say 'I don't know'.Context:- Azure OpenAI Service provides REST API access to OpenAI's powerful language models including the GPT-3, Codex and Embeddings model series.- Azure OpenAI Service gives customers advanced language AI with OpenAI GPT-3, Codex, and DALL-E models with the security and enterprise promise of Azure. Azure OpenAI co-develops the APIs with OpenAI, ensuring compatibility and a smooth transition from one to the other.- At Microsoft, we're committed to the advancement of AI driven by principles that put people first. Microsoft has made significant investments to help guard against abuse and unintended harm, which includes requiring applicants to show well-defined use cases, incorporating Microsoft’s principles for responsible AI use."},{"role": "user", "content": "What is Azure OpenAI Service?"}

{"role": "system", "content": "Assistant is an intelligent chatbot designed to help users answer their tax related questions. "},{"role": "user", "content": "When do I need to file my taxes by?"},{"role": "assistant", "content": "In 2023, you will need to file your taxes by April 18th. The date falls after the usual April 15th deadline because April 15th falls on a Saturday in 2023. For more details, see https://www.irs.gov/filing/individuals/when-to-file."},{"role": "user", "content": "How can I check the status of my tax refund?"},{"role": "assistant", "content": "You can check the status of your tax refund by visiting https://www.irs.gov/refunds"}

{"role": "system", "content": "You are an assistant designed to extract entities from text. Users will paste in a string of text and you will respond with entities you've extracted from the text as a JSON object. Here's an example of your output format:{ "name": "", "company": "", "phone_number": ""}"},{"role": "user", "content": "Hello. My name is Robert Smith. I'm calling from Contoso Insurance, Delaware. My colleague mentioned that you are interested in learning about our comprehensive benefits policy. Could you give me a call back at (555) 346-9322 when you get a chance so we can go over the benefits?"}

import osimport openaiopenai.api_type = "azure"openai.api_version = "2023-05-15" openai.api_base = os.getenv("OPENAI_API_BASE")# Your Azure OpenAI resource's endpoint value .openai.api_key = os.getenv("OPENAI_API_KEY")conversation=[{"role": "system", "content": "You are a helpful assistant."}]while(True):user_input = input()conversation.append({"role": "user", "content": user_input})response = openai.ChatCompletion.create(engine="gpt-3.5-turbo", # The deployment name you chose when you deployed the ChatGPT or GPT-4 model.messages = conversation)conversation.append({"role": "assistant", "content": response['choices'][0]['message']['content']})print("\n" + response['choices'][0]['message']['content'] + "\n")

import tiktokenimport openaiimport osopenai.api_type = "azure"openai.api_version = "2023-05-15" openai.api_base = os.getenv("OPENAI_API_BASE")# Your Azure OpenAI resource's endpoint value .openai.api_key = os.getenv("OPENAI_API_KEY")system_message = {"role": "system", "content": "You are a helpful assistant."}max_response_tokens = 250token_limit= 4096conversation=[]conversation.append(system_message)def num_tokens_from_messages(messages, model="gpt-3.5-turbo-0301"):encoding = tiktoken.encoding_for_model(model)num_tokens = 0for message in messages:num_tokens += 4# every message follows <im_start>{role/name}\n{content}<im_end>\nfor key, value in message.items():num_tokens += len(encoding.encode(value))if key == "name":# if there's a name, the role is omittednum_tokens += -1# role is always required and always 1 tokennum_tokens += 2# every reply is primed with <im_start>assistantreturn num_tokenswhile(True):user_input = input("") conversation.append({"role": "user", "content": user_input})conv_history_tokens = num_tokens_from_messages(conversation)while (conv_history_tokens+max_response_tokens >= token_limit):del conversation[1] conv_history_tokens = num_tokens_from_messages(conversation)response = openai.ChatCompletion.create(engine="gpt-35-turbo", # The deployment name you chose when you deployed the ChatGPT or GPT-4 model.messages = conversation,temperature=.7,max_tokens=max_response_tokens,)conversation.append({"role": "assistant", "content": response['choices'][0]['message']['content']})print("\n" + response['choices'][0]['message']['content'] + "\n")