R2bits (3) 4,000+ 个用户 高效工作 与你的浏览器兼容 描述 ChatGPT Conversation History Search is a powerful extension designed to enhance your experience using the ChatGPT platform by OpenAI. This extension allows you to effortlessly search through your entire ChatGPT conversation history,...
ChatGPT bug leaked users’ conversation histories ChatGPT故障导致用户聊天记录泄露 A ChatGPTglitch①allowed some users to see the titles of other users’ conversations, the artificial intelligence chatbot’s boss has said. On...
package conversation import "chatgpt_x/pkg/model" import ( "chatgpt_x/pkg/model" "errors" "gorm.io/gorm" ) // Create 创建对话记录,通过 Conversation.ID 来判断是否创建成功。 func (m *Conversation) Create() (err error) { @@ -12,19 +16,41 @@ func (m *Conversation) Create() (err...
目前的chatGPT已经有memory机制了,详见help.openai.com/en/arti。 chatGPT 会rewrite memory(重点的信息, short but informative summary of histories ) from conversation histories (是across conversations, 区别于只使用当前一个conversation内 的history,也就是说你上一个conversation说的内容 将会在这个conversation...
+ conversation_history } # 发送请求给ChatGPT模型 response = openai.Completion.create...
prompt="\n".join(conversation_history),max_tokens=50,temperature=0.7,n=1,stop=None,temperature=0.7)# 提取模型生成的回复 model_reply=response.choices[0].text.strip()# 打印模型回复print("ChatGPT:"+model_reply)# 将模型回复添加到对话历史 conversation_history.append(model_...
Chatgpt 对话历史管理,包括历史数据下载、历史数据搜索、历史数据收集等。 This plugin helps you to search chatgpt conversation history. This extension imports the latest conversation history in real-time and supports cross-conversation queries. Elevate your ChatGPT experience and manage conversations easily,...
messages = this.conversationHistory.concat(messages); } // 发送请求到OpenAI API const response = await axios.post( 'https://api.openai.com/v1/chat/completions', { model: "gpt-3.5-turbo", messages: messages }, { headers: { 'Authorization': `Bearer ${apiKey}`, ...
ChatGPT: 中美贸易摩擦是当前国际贸易局势中的一个重要问题，对于全球经济格局和国际关系都产生了深远的影响。我认为，中美贸易摩擦不会一直持续下去，双方需要通过协商和谈判来解决问题。一方面，中美两国是全球最大的经济体之一，两国之间的贸易关系紧密相连，任何贸易争端都会对两国经济造成负面影响。另一方面，贸易摩擦...
conversation_history = [] def chat_with_gpt(user_input): conversation_history.append({"role": "user", "content": user_input}) response = openai.Completion.create( engine="davinci", messages=conversation_history, max_tokens=150 ) conversation_history.append({"role": "assistant", "content":...