OpenAI (2024)

FAQs

How to get longer responses from OpenAI? ›

The only way to get longer responses is to work on your prompt to try to coax out longer responses, or use multiple requests (“write an outline on this topic”, then send requests to write X paragraphs for each outline item).

Be specific in your prompts to guide ChatGPT's response in the desired direction. If you want a much longer response, use the same prompt and nudge ChatGPT each time it pauses until it completes the entire response.

Microsoft is entitled to up to 49 percent of the for-profit arm of OpenAI's profits, according to reports. But that's not the same as 49% ownership. That investment does not result in Microsoft owning part of OpenAI, which is now clearer following an update to the OpenAI website and clarification from the company.

According to OpenAI themselves, the main way to limit the characters of the completion, is by using the “Max tokens” setting. This is shared between the prompts and completion, so a bit of trial and error is required.

Because ChatGPT has a character limit for both input and output, the chatbot often cuts off before providing the full text or code you've asked for. ChatGPT may also stop writing if there's a problem with its server or a network issue.

Have a clear idea of the question and the expected result as an answer. Make the question specific and use conversational language. Provide any necessary context and avoid ambiguous or open-ended questions. Talk to ChatGPT as if in conversation and engage in conversation as if talking to another person.

Log in to the ChatGPT interface and paste your text into the input area. Clearly tell ChatGPT what you want it to do. For example, you could write: “Develop this text with more details and examples” or “Expand this text into a full blog article.” Let ChatGPT do its thing!

The bot uses a large language model powered by artificial intelligence to generate human-like textual responses to specific questions. Usually, the chatbot generates short answer responses due to ChatGPT's word limit.

How to speed up GPT-4 response time? ›

One trick is to just use streaming. Unlike the AI, a human can't read text in a single brain cycle. So if you stream the words, even gpt-4 tends to stream faster than users can read.

Batch Processing

Batch processing involves running multiple inference requests in parallel. By batching requests, you can take advantage of hardware parallelism and reduce the overall inference time. This technique is especially effective when deploying OpenAI models in web services or cloud environments.

We are thrilled to announce the general availability of GPT-4 Turbo with Vision on the Azure OpenAI Service, which processes both text and image inputs and replaces several preview models.

Rate limits are defined at the organization level and at the project level, not user level. Rate limits vary by the model being used. Limits are also placed on the total amount an organization can spend on the API each month. These are also known as "usage limits".

Let me explain: 4,096 tokens are the max tokens for a single prompt or if, for example, I create a code where multiple prompts are sent, 4,096 tokens are for the entire code (so for more prompts).

There is 1536 tokens maximum response in ChatGPT.

The maximum length of input text for our latest embedding models is 8192 tokens. You should verify that your inputs don't exceed this limit before making a request. If sending an array of inputs in a single embedding request the max array size is 2048.