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docs(devlog): rephrases

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Neko Ayaka
2025-05-28 18:23:09 +08:00
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@@ -56,7 +56,7 @@ Most profoundly appreciated to [@LemonNekoGH](https://github.com/LemonNekoGH) an
:::note[What is Character Card?]
Well, local-first chat applications like [SillyTavern](https://github.com/SillyTavern/SillyTavern)
, [RisuAI](https://risuai.net/) or online services like [JanitorAI](https://janitorai.com/) uses a
, [RisuAI](https://risuai.net/) or online services like [JanitorAI](https://janitorai.com/) uses、 a
file contains character's background, personality, and other role-playing essential context for
each individual characters.
@@ -104,9 +104,10 @@ It's live in our UI component library, you can play around with it: https://airi
- Tauri MCP support
- Connects AIRI to Android devices
These two was major update and try-out, she wrote another two DevLogs about
these things and shared the technical details behind the scene.
(Valuable for Tauri developers and users I guess.) You can read them here:
These two was major update and try-out, and this part was done by [@LemonNekoGH](https://github.com/LemonNekoGH),
she wrote another two DevLogs about these things and shared the technical
details behind the scene. (Valuable for Tauri developers and users I guess.)
You can read them here:
- [Controls Android](./DevLog-2025.04.22.mdx)
- [MCP in Tauri](./DevLog-2025.04.28.md)
@@ -150,8 +151,11 @@ from ground up and scratch:
- [VAD + ASR + LLM Chat](https://github.com/proj-airi/webai-example-realtime-voice-chat/tree/8462ff6bcb83bb278bce5388d588d2e3e3dd6dae/apps/vad-asr-chat)
- [VAD + ASR + LLM Chat + TTS](https://github.com/proj-airi/webai-example-realtime-voice-chat/tree/8462ff6bcb83bb278bce5388d588d2e3e3dd6dae/apps/vad-asr-chat-tts)
We discovered a interesting and powerful repository though, called [k2-fsa/sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx), it
supports the 18 tasks of speech processing across macOS, Windows, Linux, Android,
> Hope you could learn some from them.
During this time, we discovered a interesting and powerful repository though,
called [k2-fsa/sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx), it supports
18 tasks of speech processing across macOS, Windows, Linux, Android,
iOS, etc. over 12 languages. Fascinating!
So [@luoling](https://github.com/luoling8192) made another small demo for this too:
@@ -159,13 +163,13 @@ So [@luoling](https://github.com/luoling8192) made another small demo for this t
#### Birth of xsAI 🤗 Transformers.js
This give birth to a new side project called
[xsAI 🤗 Transformers.js](https://github.com/proj-airi/xsai-transformers)
to be able to call the WebGPU powered model inference and serving with workers
while still keep the API compatible to our prior succeeded project called
Because the work we have done for VAD, ASR, Chat, and TTS demos, this gave the
birth of a new side project called [xsAI 🤗 Transformers.js](https://github.com/proj-airi/xsai-transformers)
, enabling the simplicity to call the WebGPU powered model inference and serving with
workers while still keeping the API compatible to our prior succeeded project called
[xsAI](https://github.com/moeru-ai/xsai).
We got a playground for that too... play it on https://xsai-transformers.netlify.app
We got a playground for that too... play it on [https://xsai-transformers.netlify.app](https://xsai-transformers.netlify.app).
You can install it via npm today!
@@ -180,6 +184,8 @@ powered models with one if switch.
This brought us a new possibility to be able to experiment and even achieve
simple RAG and re-ranking system right in the browser, without the need of
any server side code, or even a backend server.
Oh, Node.js was supported, too!
:::
### Telegram Bot
@@ -201,7 +207,7 @@ one for my own.
I did some small experiments on integrating a WebGPU powered background
remover right in the system, you can play around with it here in
https://airi.moeru.ai/devtools/background-remove .
[https://airi.moeru.ai/devtools/background-remove](https://airi.moeru.ai/devtools/background-remove).
### xsAI & unSpeech
@@ -273,7 +279,7 @@ The slides I used to share was this:
<Image src={DemoDayHangzhou3} alt="Demo Day @ Hangzhou" />
The slides itself is purely open sourced, you can play around
it here too: https://talks.ayaka.io/nekoayaka/2025-05-10-airi-how-we-recreated-it/#/1
it here too: [https://talks.ayaka.io/nekoayaka/2025-05-10-airi-how-we-recreated-it/#/1](https://talks.ayaka.io/nekoayaka/2025-05-10-airi-how-we-recreated-it/#/1)
## Milestones