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An AI event where paper, model, and framework terms fly by fast
An AI conference where technical terms like transformers, RAG, fine-tuning, inference, and multimodal come one after another at speed. For research talks, precise terminology is everything, yet generic interpretation falls apart on model names, paper titles, and acronyms. barotalk uses prior knowledge (RAG) to pull only the terms that actually appear in the speech and refine them precisely, no matter how large the glossary, with no added latency.
실시간 송출 · LED + 관객 폰1.0s
원문 · 한국어
검색 증강 생성(RAG)으로 모델 환각을 크게 줄일 수 있습니다.
English
Retrieval-augmented generation (RAG) substantially reduces model hallucination.
日本語
検索拡張生成(RAG)により、モデルのハルシネーションを大幅に削減できます。
한 발화가 LED 스크린과 모든 참석자 폰에 각자 언어로 동시에 떠요.
From setup to wrap-up
01
Setup
- Upload presentation slides and paper PDFs → model and method terms extracted automatically
- Lock your company's or lab's standard translations into the glossary (e.g., 추론 → inference)
02
During the event
- Even during a live demo, captions push to the LED and attendees' phones in under a second
- Questions flow as captions too, so non-English attendees can keep up
03
After the event
- Turn per-session summaries and key-quote archives into internal knowledge
- Download the full talk (source + translation)
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