I haven’t posted much to lemmy, but already from the title of this community, I would expect more negativity than average because ‘actually useful’ is relative and frankly, I cant be bothered to make my case. I guess I let my reddit experience, as somone there from it’s beginning when it started to take over digg, color my viewpoint of humanity on social networks.
Okay! I finally got a 'killer feature' prototyped in my terminal based AI chat application ... vector embeddings! I got it generating them from the chat log and searching for semantic relevance appropriately. Took a bit to sort this out because of the technology stack I'm using... But now it works.
Life's gonna be rough for the next few days, but late next week I hope to actually write some more useful blog posts containing the stuff I've learned. I can't wait!
🤩
Go was my favorite mainstream language for GSD for years last decade. I was happy using it.
I came off a development ‘extended holiday’ by jumping into Rust dev over the last few months. I think I’m less happy. Though my software is arguably functionally better, even if I fucking despise the way it looks and reads.
Maybe I just never realized I'm a grug brained developer at heart.
yeah, without the config, it’ll be hard to say anything meaningful. if you are open to alternatives, caddy does this well and is super easy to configure.
I love the design of this ergo!
I'm just too tired to deal with writing up everything until Friday, since I have a lot of hours at my day job this week.
But, if by chance anyone is watching this, you can see the code that I checked into the dev branch of Kontour and the configuration file used to generate the datasets I used as well as the scripts in data-cleaning to reformat everything.
I also have a sub to di.fm and love it. A new one I'm thinking of adding is brain.fm which I've been enjoying on trial so far.
I like Buttercup. It's open source and pretty simple to use. I personally just keep mine on dropbox so my mac, linux, ios, windows and android devices can all access it. https://github.com/buttercup/buttercup-desktop
You could try blending in some TIs from something like this: https://civitai.com/models/8860/scg-emotions-pack-simple-embeds-for-easily-controlling-a-variety-of-emotions-for-all-15-models-and-merges
Mark Zuckerberg & Meta to Release Commercial Version of its AI/LLM (LLaMA) In Effort to Catch Rivals
Don't write anything other people can see. Don't share any art you make. Never publish code online. Don't post to large social media networks.
Thanks for those, btw. Both docker and sql are things that I'm not super familiar with, so it was nice to have a guide.
What I like the most about tree supports is that I can actually remove them pretty easy compared to the usual fiasco I had to deal with in prusa slicer. So happy support for them finally landed in 2.6.
This is my step-by-step guide on how to replicate fine tuning of the example datasets using axolotl.
Last I checked, the bitsandbytes library copy was still needed and open-llama-3b was still problematic for quantizing, but hopefully those issues are solved at some point.
What I didn't know when I first wrote the post was that it was possible to load the finetuned LoRA file in a frontend like text-generation-webui. I have since updated the text to account for that. There are performance side-effects of just loading the qlora adapter in the webui besides just the penalty to load time. This should show how fast text inference was with little context in tokens/p while using the transformers library and source model in f16 or quantized 8-bit & 4-bit and how fast I can run a merged q4_0 quantization.
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I got PETG working on my Mini clone by basically just switching to 0.6 nozzle profiles from the wizard and using the generic PETG profile.
But, if you’re new to PETG, know that it gets real moisture sensitive, real fast. Sounds like you might benefit from trying to dry the filament out, check the web for more on that.
After making sure the filament was dry and that my initial layer is good, because changing nozzles means you need to fine tune the z offset again, I would print a retraction tower test and dial in retraction length settings.
That a good basic troubleshooting list.