GPT-3.5 and GPT-4, including function calling and vision
19 articles
GPT-4 Vision APIHow does GPT-4 Turbo with Vision (gpt-4-turbo) work?
Function Calling in the OpenAI APIWhat is function calling and how does it work in the OpenAI API?
GPT-4 Turbo in the OpenAI APIHere is what you need to know about accessing and using GPT-4 Turbo
GPT-3.5 Turbo UpdatesThe latest on GPT-3.5 Turbo in the OpenAI API
Moving from Completions to Chat Completions in the OpenAI APIHow to get migrate from the legacy OpenAI Completions API to Chat Completions
How can I use the Chat Completion API?Learn how to get started with the OpenAI Chat Completions API
How can I use GPT-4 with images?How can I pass an image to GPT-4 and have it understand the image?
What are the GPT-4 rate limits?Learn about how to check the current GPT-4 and GPT-4 Turbo rate limits.
How do I use the OpenAI API with text in different languages?Using OpenAI models for non-english text generation and understanding use cases
What is the difference between the GPT-4 model versions?Learn the differences between GPT-4 model versions
Batch API FAQBatch API endpoint for asynchronous batch processing
How do I create a good prompt for an AI model like GPT-4?Tips and suggestions to create great prompts for large language models
Doing math with OpenAI modelsWhat are the challenges of trying to do math with OpenAI models and GPT-4?
Using logit bias to alter token probability with the OpenAI APILearn how to use the logit bias parameter to modify model outputs
How do I use stop sequences in the OpenAI API?Here is what you need to know about the stop sequence parameter in the OpenAI Chat Completions API
How to use the OpenAI API for Q&A or to build a chatbot?Using the Embeddings and Chat Completions API to create powerful question-answering applications
Controlling the length of OpenAI model responsesLearn how to influence OpenAI models to generate outputs of a specific length
Injecting start and restart text in the legacy Completions PlaygroundLearn how to use start and restart text feature of the OpenAI Completions Playground
Generate prompts, function definitions, and structured output schemas in the Playground