LocalLLaMA
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.
As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.
Rules:
Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.
Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.
Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.
Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.
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Personally, I think we have too much data on our own health habits.
Like it's cool that we can record that data if needed, but smart watches, rings, and things make us track too much info for a none medical professionals. Like I, and most people I know, barely understand what our blood pressure readings mean.
Its good to be mindful of your health, but genuinely, a food journal and a poop journal would be more useful for your more immediate health and asking an LLM to process that data into trends would be easier to do and more useful for you and your doctor.
You can even not have any data layer all together. The only thing missing from a local LLM is knowledge of current medications by name if you want to just say whatever prescription you're following.