New course: Add voice to your AI agents and applications, built with @VocalBridge (disclosure: an AI Fund portfolio company) and taught by its CEO @_ashwyn. Voice applications historically required making a hard tradeoff: using fast voice-to-voice models that sacrifice reliability, or accurate speech-to-text pipelines that add latency. This course teaches you how to build voice agents that are both reliable and fast. You'll build three types of voice-enabled applications: a voice-interactive game where voice commands and mouse clicks work together over a single channel, an agent that gains a voice in about 10 lines of code without touching its prompts or tools, and an agent that places outbound phone calls using a make_phone_call function. Skills you'll gain: - Add a voice layer to an existing agent without rewriting your prompts, RAG pipeline, or tools - Give an agent the ability to place outbound calls and stream transcripts back live - Set up voice evaluation to score calls, catch regressions, and improve quality before deployment Join and add voice to your agents without overhauling your architecture: https://www.deeplearning.ai/courses/voice-for-ai-agents-and-applications· 为你的 AI 代理和应用添加语音

<p>New course: Add voice to your AI agents and applications, built with <a href="https://rss.xcancel.com/VocalBridge" title="Vocal Bridge">@VocalBridge</a> (disclosure: an AI Fund portfolio company) and taught by its CEO <a href="https://rss.xcancel.com/_ashwyn" title="Ashwyn Sharma">@_ashwyn</a>.<br> <br> Voice applications historically required making a hard tradeoff: using fast voice-to-voice m