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"How do you plan to dismantle the servers of your rival AIs?" [video]

1 分·作者 deadprogram·7天前·0 评论

Talking robot heads and one human with a tinfoil helmet [video]

2 分·作者 deadprogram·16天前·0 评论

Talking Heads from the Year 2053 – Episode One

1 分·作者 deadprogram·18天前·0 评论

Free Yourself from the Copilot Tax

3 分·作者 deadprogram·上个月·1 评论

Conversations With Our Future Robot Overlords (and their pet human) [video]

3 分·作者 deadprogram·上个月·0 评论

Talking Heads from the Year 2053 – Episode Zero [video]

1 分·作者 deadprogram·2个月前·0 评论

TinyGo 0.41 on ESP32 – At Long Last, Wireless

2 分·作者 deadprogram·3个月前·0 评论

Espflash – Go CLI/library for flashing ESP8266/ESP32 with no dependencies

20 分·作者 deadprogram·4个月前·2 评论

Running local LLMs and VLMs on the Arduino UNO Q with yzma

projecthub.arduino.cc

1 分·作者 deadprogram·5个月前·0 评论

Yzma 1.0 is out Go programs that run local models with hardware acceleration

1 分·作者 deadprogram·7个月前·0 评论

Go apps can directly integrate llama.cpp for HW accelerated local inference

2 分·作者 deadprogram·7个月前·0 评论

"Captions With Attitude" in the browser from local VLM using llama.cpp in Go

1 分·作者 deadprogram·8个月前·0 评论

Pure Go hardware accelerated local inference on VLMs using llama.cpp

1 分·作者 deadprogram·8个月前·0 评论

That Machine Always Lies

thatmachinealwayslies.com

2 分·作者 deadprogram·9个月前·0 评论

Yzma = embedding+inference on VLM/LLM/SLM/TLM in pure Go using llama.cpp

1 分·作者 deadprogram·9个月前·0 评论

Yzma – local Vision Language Models/LLMs in Go using llama.cpp without CGo

2 分·作者 deadprogram·9个月前·0 评论

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·9个月前·讨论

I have been doing this for quite a while as well. For sure I am better at edited text than dragging boxes around the screen.