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Realtime API: One of the most exciting announcements was the introduction of the Realtime API. This new API allows developers to build fast, speech-to-speech experiences into their applications.
Vision Fine-Tuning: OpenAI unveiled Vision Fine-Tuning, a tool that allows developers to fine-tune GPT-4 models with images and text. This enhancement significantly improves the model’s ability to understand and generate content based on visual inputs.
Prompt Caching: Prompt Caching was introduced as a cost-saving feature that automatically discounts inputs the model has recently seen. This tool not only reduces costs but also speeds up response times.
Model Distillation: It allows developers to fine-tune a cost-efficient model using the outputs of a larger, more complex model. This process makes advanced AI capabilities more accessible to smaller players and startups.
GPT-4 Turbo: OpenAI announced the release of GPT-4 Turbo, an enhanced version of the GPT-4 model with a 128k tokens context window. This upgrade allows for more extensive and coherent interactions, making it suitable for complex applications.
Assistants: It includes Code Interpreter and retrieval models. These assistants are designed to help developers with specific tasks, such as code debugging and data retrieval.
Text-to-Speech and Image Models: OpenAI expanded its API offerings with new text-to-speech and image models, including DALL-E-3 and DALL-E-3 HD. These models provide high-quality text-to-speech conversion and advanced image generation capabilities.
