Bolna open source voice AI | Software engineering (Multiple roles) | Remote (SF) | https://github.com/bolna-ai/bolna
Bolna is building an open source orchestration for Voice AI and we're looking for software engineers (platform, infra, AI/ML, dev-rels, etc) having rich experience in Python.
Please email your CV or contact us to learn more: "founders [AT] bolna [DOT] dev". Please send us some past work that we can see! TIA.
hey! that's a great question. Initially, we had multiple processes for every component (ASR, LLM, TTS) and using a configurable settings pair of endpointing and token_size we used to handle it since for some cases latency might be an issue but some some others (where there are longer responses) it might not be that much of an issue. Later on, we also integrated with caching and routing to minimize unnecessary calls.
Bolna open source voice AI | Software engineering (Multiple roles) | Remote (SF) | https://github.com/bolna-ai/bolna
Bolna is building an open source orchestration for Voice AI and we're looking for software engineers (platform, infra, AI/ML, dev-rels, etc) having rich experience in Python.
Please email your CV or contact us to learn more: "founders [AT] bolna [DOT] dev"
Bolna is building an open source orchestration for Voice AI and we're looking for software engineers (platform, infra, AI/ML, dev-rels, etc) having rich experience in Python.
Please email your CV or contact us to learn more: "founders [AT] bolna [DOT] dev"
What we have learnt is that big enterprises do not really want to use close source models due to the random bursts in usage which might drain their bills.
we have made an open source orchestration which enables you to plug in your own TTS/ASR/LLM for end-to-end voice conversations at -> https://github.com/bolna-ai/bolna.
We are also working on a complete open source stack for ASR+TTS+LLM and will be releasing it shortly.
Please email your CV or contact us to learn more: "founders [AT] bolna [DOT] dev". Please send us some past work that we can see! TIA.