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credits: https://www.alawise.es/1-s/ Here by will be published, Native apps of https://ia.1-s.es Background: Debian Bookworm Stability.ai https://1-s.es/iabots/dreamstudio https://beta.dreamstudio.ai Prompts: https://discord.gg/XZx7P8C3 https://discord.gg/midjourney https://discord.gg/prompthero-1026222136790110259 https://prompthero.com/ Dall-e2 https://1-s.es/iabots/dall-e https://github.com/1wise/ia.1-s.es/tree/main/dall-e ChatGPT https://1-s.es/iabots/chatgpt https://github.com/1wise/ia.1-s.es/tree/main/chatgpt Prompts: https://platform.openai.com/docs/guides/chat/introduction What term to refer to you ? You can refer to me as ChatGPT, which stands for "Chat Generative Pre-trained Transformer". I love python That's great to hear! Python is a very popular and powerful programming language, with many use cases in a variety of fields. It's known for its readability and ease of use, making it a great language for beginners to learn. Let me know if you have any questions or if there's anything I can help you with as you explore Python! what would be ideal way to ask gpt-3.5-turbo using system, user and assistant prompt to translate code in such way ? Here's an example prompt you could use to ask GPT-3.5-Turbo to translate code to Spanish: Copy code System: Hola, ¿en qué puedo ayudarte hoy? User: Me gustaría traducir este código a español. ¿Podría hacerlo por mí? System: Por supuesto. ¿Podría proporcionarme el código que desea traducir? User: Claro. Aquí está: [insert codigo aqui] When providing the code to be translated, make sure to use a code block or a formatting that clearly distinguishes the code from the rest of the text. This will help the model understand what parts of the input text should be translated and what parts should be left unchanged. After the model has generated the translation, you could follow up with a prompt like this: makefile Copy code System: Ya he terminado de traducir el código. ¿Le gustaría revisarlo? User: Sí, por favor. ¿Podría mostrarme la traducción? System: Por supuesto. Aquí está: [código traducido en español] ¿Hay algo más en lo que pueda ayudarle? This way, you can interact with the system and prompt it to perform the specific task of translating code to Spanish. Henri W. Sirkia oh ... I urgently need to recode my in production chatGPT form I see. What do you need help with exactly? Are you having issues with the current form, or do you want to make changes to it? Henri W. Sirkia $data = array( "model" => $model, "messages" => [ ["role" => "system", "content" => $system_msg], ["role" => "user", "content" => $user_msg], ["role" => "assistant", "content" => $assistant_msg], ["role" => "user", "content" => $prompt] ], It seems like you are working with PHP code to build a chatbot using the ChatGPT model. The code you provided is an array called $data that contains information about the model and messages for the chat. In the messages array, there are four elements, each with a role and content. The first element has a role of "system" and its content is $system_msg, which I assume is a message from the system or bot. The second element has a role of "user" and its content is $user_msg, which I assume is a message from the user. The third element has a role of "assistant" and its content is $assistant_msg, which I assume is a response from the ChatGPT model. The fourth element has a role of "user" and its content is $prompt, which I assume is a prompt for the user to enter their message. If you need more help with this code, please let me know what you would like to accomplish. Henri W. Sirkia I now assume this would be the correct ? "messages" => [ ["role" => "system", "content" => $system_msg], ["role" => "user", "content" => $user_msg], ["role" => "system", "content" => $assistant_msg], ["role" => "user", "content" => $prompt] ], ' Yes, that would be the correct way to structure the messages array in the PHP code snippet you provided earlier. The messages array contains an array of dictionaries, with each dictionary representing a message. In your updated code, the first message is from the system role, the second message is from the user role, the third message is from the system/assistant role, and the fourth message is from the user role again. This structure would be more logical as it groups the assistant and system messages together. Henri W. Sirkia so I don't need to change anything ? maybe so it's more humble If you are happy with the current wording of the messages, then you don't necessarily need to change anything. However, if you want to make it more humble, you could consider changing the "role" of the system message to "assistant" as well, to indicate that the AI is also a humble assistant trying to help. For example: bash Copy code "messages" => [ ["role" => "assistant", "content" => $system_msg], ["role" => "user", "content" => $user_msg], ["role" => "assistant", "content" => $assistant_msg], ["role" => "user", "content" => $prompt] ], Ultimately, it's up to your personal preference and how you want the messages to be presented. Henri W. Sirkia I enjoy philosophical diogenes, freedom through humblenes Diogenes was indeed a fascinating figure in ancient Greek philosophy. He was known for his extreme simplicity and rejection of societal norms, and lived a life of voluntary poverty and asceticism. He is famously quoted as saying, "I am a citizen of the world (kosmopolitês)," which reflects his belief in the universality of humanity and the idea that individual identity should be subsumed under a broader sense of human identity. As for the idea of freedom through humbleness, it is certainly an interesting concept. In some ways, Diogenes' rejection of material possessions and societal status can be seen as a way of asserting his own independence and freedom from the expectations of others. By embracing a humble lifestyle, he was able to live on his own terms and pursue his own philosophical goals without being weighed down by the concerns and distractions of the outside world. Of course, the relationship between humility and freedom is a complex one, and there are many different interpretations and perspectives on the matter. Some might argue that true freedom requires a more assertive and self-assured approach, while others might see humility as a necessary prerequisite for achieving true enlightenment or inner peace. Ultimately, it is up to each individual to decide for themselves what role humility plays in their own quest for freedom and fulfillment. -------------------------------- what would be ideal way to ask gpt-3.5-turbo using system user and assistant prompt to translate from php7.4 to php8.2 code in such way ? Here's an example of how you could ask GPT-3.5-Turbo to translate PHP 7.4 code to PHP 8.2 using a system message, user message, and assistant prompt: System message: "We need to update our PHP code from version 7.4 to 8.2. Can you help us with the translation?" User message: "Sure, I can try. Do you have the code that needs to be translated?" Assistant prompt: "Please provide the PHP 7.4 code that needs to be translated:" Then you can use the input from the user to pass the PHP code to GPT-3.5-Turbo for translation. Here's an example of how you could use the OpenAI API to translate the PHP code: python Copy code import openai import json # Set up the OpenAI API credentials openai.api_key = "YOUR_API_KEY" # Define the input parameters model_engine = "text-davinci-002" prompt = "Please translate the following PHP code from version 7.4 to 8.2:" php_code = "echo 'Hello, world!';" # Set up the OpenAI API request input_data = prompt + "\n\n" + php_code response = openai.Completion.create( engine=model_engine, prompt=input_data, max_tokens=1024, n=1, stop=None, temperature=0.7, ) # Parse the OpenAI API response if response.choices.text: translation = response.choices.text.strip() print("Translation:\n", translation) else: print("Sorry, I couldn't translate the PHP code.") In this example, the prompt variable is used to provide the assistant prompt, and the php_code variable is used to provide the PHP 7.4 code that needs to be translated. The text-davinci-002 engine is used to translate the code, but you can experiment with other engines if you prefer. Finally, the translated code is printed to the console.
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