๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Latent.Space
@latentspacepod
AI Engineering podcast, newsletter & community. Technical news today youโ€™ll use at work tomorrow. Business: business@latent.space ยท Tips: tips@latent.space
๊ฐ€์ž… June 2023
127 ํŒ”๋กœ์ž‰ ์ค‘    32.8K ํŒฌ
๐Ÿ†• Weโ€™re launching a new Forward Deployed Engineering pod with @realbasilchatha! In just the last few months, $9B+ has been committed by OpenAI, Anthropic, Google, and Microsoft to deploy AI into the enterprise. Model capabilities are there, but it takes a lot to make them reliable and usable for customers at scale. In our pilot episode, we dive deep into the practical realities of building enterprise voice agents with @decagon, @vapi, @retell, @smallest_ai, and @daily. We talk about: -> Why STT -> LLM -> TTS pipelines are used instead of voice-to-voice models -> How to balance intelligence vs latency for different use cases -> Why turn-taking is still not a solved problem Check it out!
๋” ๋ณด๊ธฐ