Liquid AI Showcase: Frontier Speech Systems, Post-Training RL, and Edge VLMs
Tokyo AI and Liquid AI deep dive into Japanese SLMs, small VLMs, and real-time speech-to-speech models.
- When
- Where
- Shibuya, Tokyo·In person
- Region
- Kanto (Tokyo)
- Organizer
- Tokyo AI
- Language
- EN
- Source
- Luma
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Summary
The Tokyo AI (TAI) community, in collaboration with Liquid AI, hosts a technical deep dive into frontier multimodal architectures and post-training methods. Liquid AI scientists and engineers present on three fronts: LLM post-training paradigms behind a state-of-the-art Japanese small language model (SLM), structured information extraction with compact vision-language models (VLMs), and the systems and evaluation work behind real-time speech-to-speech models.
The agenda runs from text-based foundations through specialized VLMs to native speech-to-speech systems, with sessions on Japanese SLM training, small VLMs for structured output, and audio language models including evaluation and data engineering for Japanese speech. A technical networking block closes out the evening.
About the community
A large AI community in Japan with thousands of members, mainly Tokyo-based engineers, researchers, investors, product managers, and corporate innovation managers. It runs technical sessions and networking events to grow the local AI ecosystem.
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