OpenAI introduces 4 new artificial intelligence tools: here are all the announcements at OpenAI DevDay 2024
October 2, 2024
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OpenAI ushered in a new era in the artificial intelligence industry with the DevDay 2024 event. The company made a strategic shift during the event, focusing on improvements
OpenAI ushered in a new era in the artificial intelligence industry with the DevDay 2024 event. The company made a strategic shift during the event, focusing on improvements to existing AI tools and APIs rather than major product launches.
The main theme of this year’s conference was to support and strengthen the developer community. At the event where OpenAI announced four major innovations Important tools such as Vision Fine-Tuning, Realtime API, Model Distillation and Prompt Caching was introduced.
Fast caching
Prompt Caching stands out as a notable feature in reducing costs. This system offers developers cost savings and discounts of up to 50%, especially for applications that regularly reuse the company’s products.
While this provides a significant advantage for developers with limited budgets, OpenAI platform product manager Olivier Godement stated that artificial intelligence models have reduced their costs by almost a thousand times over the past two years.
Vision refinement
Vision Fine-Tuning improves the visual insight of artificial intelligence models. This tool allows developers to provide innovative solutions in various industries by training models with images.
For example, Grab, Southeast Asia’s leading transportation platform, stated that it has achieved significant improvements by using this technology in its mapping services.
Real-time API
Realtime API aims to make conversational artificial intelligence solutions faster and easier to use. The tool will play a major role, especially in the development of voice applications.
Wanderlust, one of the examples the company is showing, allows users to make travel plans by speaking directly. Such applications have a wide range of applications, from customer service to education.
Model distillation
Finally, Model Distillation allows smaller AI models to achieve the capabilities of large, complex models at a lower cost.
Thanks to Model Distillation, the potential to popularize applications of artificial intelligence is highlighted, especially in areas where resources are limited.
These innovations from OpenAI align with its plans to create a more accessible, affordable and sustainable artificial intelligence ecosystem. So what do you think of these innovations? You can share your thoughts with us in the comments below.
Alice Smith is a seasoned journalist and writer for Div Bracket. She has a keen sense of what’s important and is always on top of the latest trends. Alice provides in-depth coverage of the most talked-about news stories, delivering insightful and thought-provoking articles that keep her readers informed and engaged.