No Stupid Questions
No such thing. Ask away!
!nostupidquestions is a community dedicated to being helpful and answering each others' questions on various topics.
The rules for posting and commenting, besides the rules defined here for lemmy.world, are as follows:
Rules (interactive)
Rule 1- All posts must be legitimate questions. All post titles must include a question.
All posts must be legitimate questions, and all post titles must include a question. Questions that are joke or trolling questions, memes, song lyrics as title, etc. are not allowed here. See Rule 6 for all exceptions.
Rule 2- Your question subject cannot be illegal or NSFW material.
Your question subject cannot be illegal or NSFW material. You will be warned first, banned second.
Rule 3- Do not seek mental, medical and professional help here.
Do not seek mental, medical and professional help here. Breaking this rule will not get you or your post removed, but it will put you at risk, and possibly in danger.
Rule 4- No self promotion or upvote-farming of any kind.
That's it.
Rule 5- No baiting or sealioning or promoting an agenda.
Questions which, instead of being of an innocuous nature, are specifically intended (based on reports and in the opinion of our crack moderation team) to bait users into ideological wars on charged political topics will be removed and the authors warned - or banned - depending on severity.
Rule 6- Regarding META posts and joke questions.
Provided it is about the community itself, you may post non-question posts using the [META] tag on your post title.
On fridays, you are allowed to post meme and troll questions, on the condition that it's in text format only, and conforms with our other rules. These posts MUST include the [NSQ Friday] tag in their title.
If you post a serious question on friday and are looking only for legitimate answers, then please include the [Serious] tag on your post. Irrelevant replies will then be removed by moderators.
Rule 7- You can't intentionally annoy, mock, or harass other members.
If you intentionally annoy, mock, harass, or discriminate against any individual member, you will be removed.
Likewise, if you are a member, sympathiser or a resemblant of a movement that is known to largely hate, mock, discriminate against, and/or want to take lives of a group of people, and you were provably vocal about your hate, then you will be banned on sight.
Rule 8- All comments should try to stay relevant to their parent content.
Rule 9- Reposts from other platforms are not allowed.
Let everyone have their own content.
Rule 10- Majority of bots aren't allowed to participate here.
Credits
Our breathtaking icon was bestowed upon us by @Cevilia!
The greatest banner of all time: by @TheOneWithTheHair!
view the rest of the comments
The "breakthrough" likely happened a long time ago, but as with all tech, it was only recently accessible to the general public. LLM alone isn't even that sophisticated to begin with.
AI assistant will soon be an essential part of our lives. It will handle grocery shopping based on your dietary requirements, conduct basic diagnosis of your health, create personalized software, books, music, and movies on the fly for you, do your taxes and offer financial advices. All these are already happening.
I assume you are referring to transformers, which came out in the literature around 2017. Attention on its own is significantly older, but wasn't really used in a context that came close to being used as a large language model until the early / mid 2010s.
While attention is fairly simplistic, a trait which helps it parallelize well and scale well, there is a lot of research that came about recently around how the text is presented to the model, and the size of the models. There is also a lot of sophistication around instruction tuning and alignment as well which is how you get from simple text continuation to something that can answer questions. I don't think you could make something like chatGPT using just the 2017 "Attention is All You Need" paper.
I suspect that publicly released models lags whatever google or OpenAI has figured out by 6 months to a year, especially because there is now a lot of shareholder pressure around releasing LLM based products. Advancement that are developed in the open source community, like apply LoRA and quantization in various contexts, has a significantly shorter time between development and release.
I stand corrected. Thank you for educating me. I just assumed that previous NLP algorithms were not too far off from LLM in terms of capabilities, which is apparently not the case.
I'm finding this article helpful in understanding LLMs.