GPT 4

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.


API

If you're looking for an API, you can choose from your desired programming language.

POST
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 const axios = require('axios'); const api_key = "YOUR API-KEY"; const url = "https://api.segmind.com/v1/gpt-4"; 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); } })();
RESPONSE
application/json
HTTP Response Codes
200 - OKResponse Generated
401 - UnauthorizedUser authentication failed
404 - Not FoundThe requested URL does not exist
405 - Method Not AllowedThe requested HTTP method is not allowed
406 - Not AcceptableNot enough credits
500 - Server ErrorServer had some issue with processing

Attributes


messagesArray

An array of objects containing the role and content


rolestr

Could be "user", "assistant" or "system".


contentstr

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.

GPT- 4

GPT-4 is a highly advanced language model that uses a transformer architecture for processing complex linguistic structures. It’s capable of generating human-like text, making it useful for a variety of applications. One of the key features of GPT-4 is its attention mechanism, which allows the model to discern which pieces of data are more relevant than others. This results in more targeted and informative responses, enhancing user interaction.

GPT-4 can handle over 25,000 words of text, allowing for use cases like long-form content creation, extended conversations, and document search and analysis. It surpasses GPT-3.5 in its advanced reasoning capabilities.