LEARNING OBJECTIVE
After reading this guide, you'll understand the four new products OpenAI introduced at DevDay.
PRE-REQUISITES
None.
LET'S BEGIN!
[1]
Realtime API allows developers to build low-latency, multimodal experiences in their apps.
OpenAI's Realtime API allows developers to build fast, interactive speech-to-speech experiences directly into applications. It streams audio in real-time, reducing delays and improving natural conversation flow. This API handles the entire process, from voice input to response output, in a single step, making it easier to create voice-based apps for customer service, language learning, and more.
Why It's Important
It simplifies the creation of real-time voice applications, making them faster and more responsive, leading to better user experiences in industries like education and customer support.
[2]
Vision Fine-tuning on GPT-4o makes it possible to fine-tune with both text and now, images.
Fine-tuning is the process of taking an AI model that already understands general tasks and training it further with specific data to make it perform better in specialized scenarios
OpenAI's new feature allows fine-tuning AI models with both text and images. This improves tasks like visual search and object recognition by letting developers teach the model using their own images.
Why It's Important
It lets businesses customize AI for specific visual tasks, improving accuracy and efficiency in fields like healthcare, automation, and design.
[3]
Prompt Caching reduces costs and speeds up response times for developers using repeated prompts in AI applications.
OpenAI's Prompt Caching reduces costs and speeds up response times for developers using repeated prompts in AI applications. When a prompt has been used recently, it’s stored temporarily, and developers get a 50% discount for reusing cached inputs. It applies automatically for prompts over 1,024 tokens on models like GPT-4o and its mini versions. The cache clears after a short period of inactivity.
Why It's Important
This feature helps developers save on costs while maintaining performance and efficiency.
[4]
Model Distillation lets developers use the outputs of advanced models like o1-preview and GPT-4o to fine-tune and improve the performance of more cost-efficient models like GPT-4o mini.
OpenAI's new Model Distillation feature allows developers to create smaller, more cost-efficient AI models that perform similarly to larger, advanced models like GPT-4. This process is streamlined with integrated tools for storing output data, fine-tuning models, and evaluating their performance.
Why It's Important
It simplifies building AI models that are faster and cheaper to run, making them easier to deploy in real-world applications.
RECAP
OpenAI announce four new products at DevDay including the realtime API, vision fine-tuning, prompt caching, model distillation and new playground features.
NEXT STEPS
If you are interested in learning more details, visit the OpenAI DevDay site.
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