OpenAI, a leading artificial intelligence (AI) company, has announced updates to its GPT-3.5-turbo and GPT-4 API models for developers. The upgrades include a capability called function calling that allows developers to describe functions to the models, which can then intelligently create a JSON object to execute the functions. OpenAI has also made the GPT-3.5-turbo more controllable with system messages and expanded the context window, allowing for the consideration of more previously generated text before generating additional text.
OpenAI has reduced the pricing of its API models to compete with rivals such as Google, Anthropic, and Amazon. The original GPT-3.5-turbo now costs 25% less, at $0.0015 per 1,000 input tokens and $0.002 per 1,000 output tokens, while the popular text-embedding-ada-002 model has been reduced by 75% to $0.0001 per 1,000 tokens.
These updates come as OpenAI faces fierce competition within the AI industry. While the company has not yet trained GPT-4’s successor, these updates are essential for maintaining a competitive edge. Function calling, in particular, allows for the creation of chatbots that answer questions by calling external tools, natural language conversion into API calls or database queries, and structured data extraction from text.
According to OpenAI’s blog post, the models are fine-tuned to detect when a function needs to be called and respond with code that adheres to the function signature. The expanded context window of the GPT-3.5-turbo offers 16,000 tokens, whereas OpenAI is presently testing a 32,000-token context window for GPT-4. Meanwhile, OpenAI’s rival Anthropic’s Claude has a context window of 100,000 tokens.
OpenAI’s updates announce significant changes to its API models and pricing structures, which are expected to prove popular with developers seeking innovative AI solutions.
Frequently Asked Questions (FAQs) Related to the Above News
What is OpenAI?
OpenAI is an artificial intelligence company that specializes in building advanced AI systems for various industries.
What are the upgrades made to OpenAI's GPT-3.5-turbo and GPT-4 API models for developers?
The upgrades include function calling capability for describing functions to the models, which can then intelligently create a JSON object to execute functions. OpenAI has also made GPT-3.5-turbo more controllable with system messages and expanded the context window.
What is function calling, and how is it useful?
Function calling allows developers to create chatbots that answer questions by calling external tools, convert natural language into API calls or database queries, and extract structured data from text.
How has OpenAI reduced the pricing of its API models, and to what extent?
OpenAI has reduced the pricing of its API models to compete with rivals such as Google, Anthropic, and Amazon. The original GPT-3.5-turbo now costs 25% less, while the popular text-embedding-ada-002 model has been reduced by 75%.
What is the significance of the expanded context window in OpenAI's GPT-3.5-turbo and GPT-4 API models?
The expanded context window allows for the consideration of more previously generated text before generating additional text.
How does OpenAI's GPT-4 compare with rival Anthropic's Claude in terms of the context window?
OpenAI is presently testing a 32,000-token context window for GPT-4, whereas Anthropic's Claude has a context window of 100,000 tokens.
Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.
