url：https://chat.openai.com/backend-api/conversation 然而我并未在这个 HTTP POST 请求的 payload ...
可以通过API直接来fine tune GPT的model,具体的API的参数等等,据要根据developers的需求来制定。这个也是很激动的。LLM要落地到应用场景,finetune还是需要的。如果能够缩短finetune的时间和成本,可以大大提高效率。 A stateful API: remember conversation history! 有一个有状态的API - 当您今天调用聊天API时,您必须反...
伺服器會傳送conversation.item.created事件,其中包含從音訊緩衝區建立的使用者訊息專案。 對話和響應產生 即時API 的設計目的是要處理即時、低延遲的對話互動。 API 是以一系列事件為基礎所建置,可讓用戶端傳送和接收訊息、控制交談的流程,以及管理會話的狀態。
GPT-4o还将开放相应API给GPT的开发者,价格是GPT-4-turbo的一半,速度却是GPT-4-turbo的两倍,速率限制也高5倍。 官方表示,GPT-4o将会在未来几周内陆续开放。此外,OpenAI还推出了ChatGPT的桌面版应用,不过目前只有MacOS版本,Window...
实际上,人们可以通过GPT3中的开放API进行使用。所以你需要非常聪明地指定你的提示信息来设计一种核心,并让模型做你想做的,提供一些例子,在这些例子中,指令跟踪模型以这种方式接受训练,可以真正做到我们让它做什么,它就做什么。有一个词在机器学习领域的一些子集里是已知的,但并不是所有的子集都知道。但再往前,你...
# conversation with a cryptocurrency expertprompt_text=""" Alex is a Cryptocurrency expert: Human: Which cryptocurrencies do you think are the best to invest at the moment? Alex: """response=openai.Completion.create(model="text-davinci-003",prompt=prompt_text,max_tokens=40,temperature=1,n=5...
Now, manual transcription and translation are only a memory. The famous research company for ChatGPT, OpenAI, launched Whisper API for speech-to-text conversation! With a few lines of Python code, you can call this powerful speech recognition model, get the thought off of your mind and focus...
The way to think of it is that we're moving away from just raw text in, raw text out, where you can't tell where different parts of the conversation come from, but towards this much more structured format that gives the model the opportunity to know, well, this is the user asking ...
Remember, security is of utmost importance. Always prioritize the safe handling of sensitive information like API keys! For more information, check outthis articleall about API key management for Swift developers. Image Dive into the next evolution of AI-powered image generation with DALL-E 2 (an...
# Add the conversation messages to our messages call to the API [messages.append(x) for x in conversation_messages] # Make the ChatCompletion call with tool_choice='required' so we can guarantee tools will be used response = client.chat.completions.create(model=GPT_MODEL ...