31–40 of 79 posts
It's unfortunate that a 16GB raspberry pi is so incredibly expensive now. Fascinating how we've scope creeped over the years from the original $30 or $35 raspberry pi SBC to this.
Seems like the real purpose of this project was to plug Groupmind and whatever else the author made.
It's unfortunate that a 16GB raspberry pi is so incredibly expensive now. Fascinating how we've scope creeped over the years from the original $30 or $35 raspberry pi SBC to this.
FWIW you can still buy a B+ for like $30. They just aren’t that useful. https://www.adafruit.com/product/1914?src=raspberrypi
Fair warning, I have found local models and frontier models to be very bad at the specifics when it comes to cars. Small differences like month and year model can impact oil capacity, oil weight and things like that, the details that matter quite a bit. I found frontier models couldn't get things like what engine was in a 1994 Nissan Skyline, one of the more infamous and talked about cars on internet forums for decad…
Just a few hours ago I gave ChatGPT my window sticker and the installation manual for a new suspension setup. I asked for new hardware that would typically be replaced during this install, like torque-to-yield bolts and fasteners. I also asked for new oil filters. I got a comprehensive grid of the exact part numbers needed in a nice dense table. sol 5.6 high is my daily driver.
Mine, too.
Did you fact-check the output?
I've found the bot to be particularly bad at stuff like producing accurate lists of parts to replace during automotive projects.
I'm currently integrating one for simple diagnostic readouts to integrated small touchscreen. The main goal being a retro looking display that mainly dumps ODB data/monitors, but also reads maps data to show a "waypointer" a la crazy taxi. (This is proving difficult) Respectfully, I don't think this is....real? -I mean, getting the absolute basic bits like diag codes converted from the odb 2 data to some program w/ a…
EDIT: I've actually got a couple cars with the One+ B, doing that sort analysis/data capture, so speaking from actual experience here.
What's the point in having it use an offline LLM if it still requires an internet connection to send all your chat messages through the "Groupmind" paid service? Seems like the real purpose of this project was to plug Groupmind and whatever else the author made.
[1] https://github.com/ThinkOffApp/CarWatch#local-vs-online-the-...
Maybe it's different in the People's Republic of Europe or wherever, but either that's a translation error or I don't understand, but I would be interested to see how quickly the EPA gets mad when Claude tells you to recover your R134a to the atmosphere.
> stuff like changing AC Maybe it's different in the People's Republic of Europe or wherever, but either that's a translation error or I don't understand, but I would be interested to see how quickly the EPA gets mad when Claude tells you to recover your R134a to the atmosphere.
Earlier quoted context omitted.
This seems to be trained(? or referencing) on the specific cars' owner's manual.
Yeah referencing is the way to go, as even finetuning probably captures style more than concrete facts. I know with large context windows we don't really RAG anymore, but for owner's manual lookup with a smaller model it seems ideal. Something every LLM user ends up learning is that they're far better used as search and summarization tools than as knowledge databases in themselves.
Edit: this applies to service manuals too