This is the motivation from someone who asked for a refund for my book.
Looks like my 30 day money back guarantee will soon become a 7 day guarantee... 😔 https://t.co/deU0a6wHj0
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One more tutorial on my to-do list...
I hooked up this little ESP32-CAM to my wifi. It takes a picture every 30s and sends it to flash-8B with a prompt like 'is there a person in this image?'. If the model says yes (with structured outputs), it turns on an LED. If I left this on for a month it would cost about $1.
Obviously this is the worst security cam ever, BUT I think it's a compelling demo. You can put some 'intelligence' in the loop of a hobby project with <$10 in hardware and fractions of a cent per API call. You can 'program' it in natural language like 'if there is an orange cat playing with my plant'. And with LLM help, modifying the code is possibly as easy as 'make this send me a discord notification if the alarm is triggered twice in an hour'.
Anyway, now that I know this thing works it has other projects it is destined for. But cool to know how easy it is to whip this up :)
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I asked ChatGPT to suggest to me 3 books about a given topic, explaining what they were about and why they were relevant to my query.
1/3 was completely made up. Non existent (from a real author, though).
How can one ever confidently trust LLMs?
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I'm back working on optimizing my #esp32-cam# library for #arduino#. This is motion detection + video streaming at 640x480.
> big orange dot is the "center of mass" of the motion region
> smaller dots are where the motion detection happens
> detection happens on ESP32S3 https://t.co/7H92Igt1pV
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(un-official) Hardware-agnostic OTA updates for your @EdgeImpulse models coming soon... 🤯 Will work with #ESP32# and WiFi @arduino boards.
In the video, a low accuracy FOMO model is replaced with an high accuracy one. https://t.co/CloiSs4pZO
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