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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Exactly, and using modern tools like calculators is what allows people to focus on learning background knowledge and theory - you can easily use computer to determine the area of a two circles and the price of each per square centimetre without having to remember formula or do mental arithmetic, someone who does it by hand is going to take longer thus giving the other the advantage of being able to do far more complex questions in the same amount of time - like comparing the calorific intake from various sizes and topped pizzas and constructing a nice graph or table to show results.
The truth is we currently accept a very low quality in everything right from kids homework to media reporting on politics, when we adapt to using AI tools to help construct articles we'll start seeing much better made augments and much better analysis - things like actual fact checking will become the norm instead of a six month project that blows everyone's minds but then gets forgotten.
Imagine a world where journalists job isn't to string pretty words together but to get stories and give them context, where experts opinions get included rather than overlooked because the person writing the article simply has no idea there's a whole scientific body that studies the field and instead blindly trusts some corporate spokespersons press release, where a journalist doesn't have to spend thirty hours reading through archives trying to determine if the subject of his story has related history but can simply say 'give a detailed breakdown of accusations of safety violations from Dupont'
Of course there will still be a lot of writing to do, not in the key pressing way where you waste an hour trying to think of a good word to describe butter beans but looking at paragraphs and saying 'that's a bit dense, split the bit about shell poisoning the Niger Delta into it's own paragraph then add a short summary of the economic cost from the data we were looking at in section 1'
Being able to focus on the important things will make us able to produce better stuff - schools that teach how to use AI are going to make students who are able to compete and contribute in the modern world, schools that try to force their students to live in 1990 are going to produce kids that've already been left behind.