OpenAI Chat-GPT3 API Integration with PHP, Parameters explanation

 

What is Chat-GPT?  - How to Integrate Chat-GPT API In PHP?

What is Chat-GPT 3?

Chat-GPT3 is a powerful language model developed by OpenAI that can generate human-like text responses to user input. It is a cutting-edge technology that is currently being used in various applications, including chatbots, virtual assistants, and automated content creation.

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How to integrate Chat-GPT 3 in php by using OpenAI API:

To integrate Chat-GPT3 in PHP, you can use the OpenAI API, which allows you to send text requests to the GPT-3 model and receive text responses.

Here are the basic steps to integrate Chat-GPT3 in PHP:

1. Sign up for the OpenAI API and obtain your API key.
2. Install composer and run the following command:
   composer require orhanerday/open-ai
   
   
3. Install the Guzzle HTTP client for PHP.
4. Use the Guzzle client to send HTTP requests to the OpenAI API, passing your API key and the text request as parameters.
5. Parse the JSON response returned by the API to extract the generated text.

Here is some sample PHP code that demonstrates how to use the OpenAI API to generate text using Chat-GPT3:

include 'vendor/autoload.php';
use Orhanerday\OpenAi\OpenAi;

	$open_ai_key = YOUR_OPENAI_API_KEY;
	$open_ai = new OpenAi($open_ai_key);
	$q = “What is PHP?”    

	completion([
		'model' => 'text-davinci-003',
		'prompt' => $q,
		'temperature' => 0.9,
		'max_tokens' => 2048 ,
		'frequency_penalty' => 0,
		'presence_penalty' => 0.6,
	]);
    
    
	// Parse the response and extract the generated text 

	$data = json_decode($response->getBody(), true); 

	$generatedText = $data['choices'][0]['text']; 


	// Output the generated text 
    
	echo $generatedText;
	

OpenAI API Code Parameters Explanation:

The code is using the OpenAI API to generate text using the GPT-3 language model. Here is an explanation of the parameters being passed to the completion method:

model: This specifies which GPT-3 model to use for generating text. In this case, the text-davinci-003 model is being used, which is one of the most advanced models available.

prompt: This is the text prompt or starting point for the generated text. The q variable is being passed as the prompt.

temperature: This parameter controls the "creativity" or randomness of the generated text. A higher temperature value will produce more diverse and unpredictable results, while a lower value will produce more predictable and conservative results. In this case, a value of 0.9 is being used, which is relatively high.

max_tokens: This parameter controls the length of the generated text, in terms of the number of "tokens" or words. A larger value will produce longer output. In this case, a value of 2048 is being used, which is the maximum allowed value.

frequency_penalty: This parameter controls how often the model will repeat itself or generate similar phrases. A higher value will produce less repetition, while a lower value will produce more repetition. In this case, a value of 0 is being used, which means no penalty.

presence_penalty: This parameter controls how closely the generated text matches the prompt or input text. A higher value will produce output that is more similar to the prompt, while a lower value will allow for more deviation. In this case, a value of 0.6 is being used, which is moderately high. Overall, these parameters are used to fine-tune the behavior of the GPT-3 model and produce output that is relevant and appropriate for the given context.

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