Provant el #Pitxu amb diferents combinacions de hardware m'ha portat a descobrir que m'agrada el format #RaspberryPiZero2 + UPS + #WhispayHat, que em dóna el més bàsic per tenir un mini-ordenador autònom amb so i pantalla (i un botó). És molt contingut i portable, se li pot fer una caixeta amb una impressora 3D (fàcil ) i pot quedar molt cuco.

Passa que no tira. Els models de STT i TTS s'encallen, i el Chatbot #Gemini ja el fregeix del tot. Ni l"overclock ni la swap han ajudat gaire.

Avui parlant amb el @miguelflorido ha sortit la idea d'aixecar uns endpoints al Pitxu, per que executi la transcripció #speechtotext i la resposta del #chatbot. Així, el que carrega més la màquina ho fa la RPi5 amb el #AIHat+2, i la RPiZ2W fa de simple client grabant àudio, reproduint la veu, i mostrant per pantalla. El reste ho envia per HTTP.

En un parell d'hores he tingut un #Flask en un thread escoltant peticions, i les proves amb el #Postman són molt bones a la Wifi de casa.

Em molaria molt tenir un #miniPitxu a la butxaca.

RVC vẫn dẫn đầu trong Speech-to-Speech (STS) dù 2 năm không cập nhật. Tại sao chưa có đối thủ? Phải chăng nghiên cứu đang tập trung vào TTS hay mô hình zero-shot vì lợi ích thương mại? Hay do giới hạn vocoder khi xử lý giọng hát phức tạp? Nghệ thuật số #AI #RVC #STS #ÂmNhạcAI #CôngNghệ #MachineLearning #XửLýGiọngNói #AIHát

https://www.reddit.com/r/LocalLLaMA/comments/1qtlxnz/why_is_rvc_still_the_king_of_sts_after_2_years_of/

“Today #RaspberryPi launched their new $130 #AIHAT+ 2 which includes a #Hailo10H and 8 GB of #LPDDR4X RAM.

With that, the Hailo 10H is capable of running #LLMs entirely standalone, freeing the Pi's CPU and system #RAM for other tasks. The chip runs at a maximum of 3W, with 40 TOPS of INT8 NPU inference performance in addition to the equivalent 26 TOPS INT4 machine vision performance on the earlier #AI HAT with Hailo 8.

In practice, it's not as amazing as it sounds.” — Jeff Geerling <https://jeffgeerling.com/blog/2026/raspberry-pi-ai-hat-2/>

Raspberry Pi's new AI HAT adds 8GB of RAM for local LLMs

Today Raspberry Pi launched their new $130 AI HAT+ 2 which includes a Hailo 10H and 8 GB of LPDDR4X RAM. With that, the Hailo 10H is capable of running LLMs entirely standalone, freeing the Pi's CPU and system RAM for other tasks. The chip runs at a maximum of 3W, with 40 TOPS of INT8 NPU inference performance in addition to the equivalent 26 TOPS INT4 machine vision performance on the earlier AI HAT with Hailo 8.

Jeff Geerling
Raspberry Pi makers collaborate with Hailo on an official AI kit HAT+ for the Pi 5 that adds an AI accelerator chip
https://www.makerspace-online.com/raspberry-pi-5-ai-kit/
#RaspberryPi #Hailo #AI #Pi5 #OpenSource #SBC #OpenHardware #AIHAT
Raspberry Pi 5 AI Kit

What happens when the Raspberry Pi’s makers and AI specialist Hailo collaborate on a project? We get an official AI kit HAT+ for the Pi 5 that adds an AI accelerator chip.

MakerSpace
Just what Raspberry Pi needed: AI HAT+ enhances machine learning capabilities, making edge AI a reality! Scalability, real-time apps, and energy efficiency make it a game-changer! #RaspberryPi #AIHAT #MachineLearning https://blog.novusteck.com/how-the-new-raspberry-pi-ai-hat-supercharges-llms-at-the-edge
How the New Raspberry Pi AI HAT Supercharges LLMs at the Edge

the Raspberry Pi AI HAT enables more powerful and efficient handling of LLMs, making AI more accessible at the edge...

Novusteck