OpenAI has unveiled a suite of new tools aimed at enhancing voice interactions and image understanding for developers. The key feature is a real-time API that allows for smooth voice interactions, enabling applications to perform tasks ranging from financial analysis to searching academic databases. This update is expected to significantly reduce development time while maintaining the scalability of applications. The release has been well-received, with developers highlighting its potential to revolutionize the interaction with AI tools. Additionally, OpenAI has introduced a Python client for the Realtime API, which supports both turn-based and streaming modes, allowing real-time interruptions during chatbot interactions. The new tools also include features for prompt caching, which can help lower costs for developers. Furthermore, OpenAI has made available a guide on meta prompts and schemas to assist developers in optimizing their usage of the new features.
I connected OpenAI Realtime APIs Voice Agent to @VoiceflowHQ knowledge base. It’s pretty sharp. Just a demo obviously, still need to connect 11Labs. So essentially it is Realtime APIs on the frontend and Voiceflow on the backend. Here: https://t.co/RWCFsWRRtv
OpenAI released a guide on meta prompts for prompt and schema generation. Link in comment https://t.co/TBClYxjsFe https://t.co/y4JXlPlPu5
No speculations anymore @OpenAI published their meta prompts for their "prompt optimization" feature they launched at DevDay to their documentation. 👀 https://t.co/5fMKx3Oygi