GPT 4 turbo
GPT-4 outperforms both previous large language models and as of 2023, most state-of-the-art systems (which often have benchmark-specific training or hand-engineering). On the MMLU benchmark, an English-language suite of multiple-choice questions covering 57 subjects, GPT-4 not only outperforms existing models by a considerable margin in English, but also demonstrates strong performance in other languages. Currently points to gpt-4-turbo-2024-04-09.
API
If you're looking for an API, you can choose from your desired programming language.
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const axios = require('axios');
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/gpt-4-turbo";
const data = {
"messages": [
{
"role": "user",
"content": "tell me a joke on cats"
},
{
"role": "assistant",
"content": "here is a joke about cats..."
},
{
"role": "user",
"content": "now a joke on dogs"
}
]
};
(async function() {
try {
const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
})();Attributes
An array of objects containing the role and content
Could be "user", "assistant" or "system".
A string containing the user's query or the assistant's response.
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
Resources to get you started
Everything you need to know to get the most out of GPT 4 turbo
GPT- 4 turbo
GPT-4 Turbo is an advanced system that can retain more information and has knowledge of events that occurred up to April 2023. This is a significant improvement from prior GPT generations, which had a knowledge cut-off of September 2021.
GPT-4 Turbo introduces a 128k context window, equivalent to 300 pages of text in a single prompt. This allows for use cases like long-form content creation, extended conversations, and document search and analysis. It can also solve difficult problems with greater accuracy, thanks to its broader general knowledge and problem-solving abilities.
One of the key features of GPT-4 Turbo is its cost-effectiveness. The model is 3X cheaper for input tokens and 2X cheaper for output tokens compared to the original GPT-4 model.
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