AI models often generate unstructured outputs, making it challenging for developers to integrate them into applications. Parsing and validating these outputs can be time-consuming and error-prone. Furthermore, unstructured outputs limit the potential use cases for AI models, as they may not conform to the required data formats for various applications.
Structured Outputs Simplify AI Integration
OpenAI’s Structured Outputs feature addresses this issue by ensuring that model-generated outputs precisely match JSON Schemas provided by developers. This capability is now generally available in the API and supported across various OpenAI models, including gpt-4o, gpt-4o-mini, gpt-4-0613, and gpt-3.5-turbo-0613, as well as fine-tuned models. Structured Outputs can be used with the Chat Completions API, Assistants API, and Batch API, even with vision inputs. OpenAI has updated its Python and Node SDKs with native support for Structured Outputs.
OpenAI Cuts GPT-4o Prices
OpenAI also slashed prices for its GPT-4o model escalating the AI price war with Google. GPT-4o is OpenAI’s most advanced multimodal model, faster and cheaper than GPT-4 Turbo, with stronger vision capabilities. The new gpt-4o-2024-08-06 model costs $2.50 per 1 million input tokens and $10.00 per 1 million output tokens, 50% and 33% cheaper respectively than the previous version.
Why Should You Care?
The ongoing price war between OpenAI and Google, marked by recent significant price reductions from both companies, is a promising development for developers. This increased competition is expected to drive innovation, leading to even more powerful and accessible large language models in the future.
– Simplified AI integration into applications
– Reduced development time and costs
– Increased accuracy and reliability of AI outputs
– Expanded use cases for AI models
– Enhanced developer productivity and efficiency
– Accelerated innovation in the AI space