Endmaker
@Endmaker@ani.social
- Comment on ELI5. Limit of current gen AI/LLMs 1 week ago:
Disclaimer: I am honestly a layman in this field. I may get a bunch of stuff wrong, but am happy to learn from experts.
Simplifying and phrasing my understanding, an LLM works like - Given a prompt: Write a program to check if input is an odd number (converts the prompt to embedding), then the LLM plays a dice game/probability game of: given prompt, then generate a set of new tokens.
This feels like an oversimplification. Unfortunately, I can’t think of a good analogy without anthromorphosising LLMs.
IMO this anime scene works well enough as an analogy at a super high level: anime_irl
“Comprehending what other people is saying is one step” - encoder
“Thinking about how to answer is one more step” - working with the feature representation
“Putting the things that popped into my mind into words is another step” - decoder
Now my question is, how are the current LLM’s are able to parse through a bunch of search results and play the above dice game?
By current LLMs, I am going to assume that you are not referring to the raw models, but platforms like ChatGPT, Perplexity, etc with UIs for you to interact with the underlying models.
There are fundamentally two different problems here: searching the web for answers, and putting the answers into words.
Like at times it reads through say 10 URLs and generate results, how are they able to achieve this?
If I ask you: “What is the colour of fire engines?”, I imagine you would answer “Red”, sometimes “Yellow”, off the top of your head.
What if I ask you “What are the 10 longest rivers in the world”? I believe you won’t be able to give me an answer right away. What you can do is a web search, find the answer, then present the results to me. You can give it to me in 10 short bullets points, or you can come up with an essay with paragraphs describing each river.
You probably got my point by now, but to make it explicit: finding an answer and putting it into words are two different processes. They are independent of each other, so the final text output can be as long or as short as need be.
For these LLM platforms, when the model “doesn’t know” the answer, they probably have a subroutine that searches the web, then feed the answer to the underlying model. The model then packages the search results into readable, text form to you.
What’s the engineering behind generating such huge verbose of texts?
Sorry but I can’t think of a good answer to this at the moment; leaving it to others for now - unless I managed to think of something.
Cause I always argue about the theoretical limitations of LLM, but now that these “agents” are able to manage huge verbose of text I dont seem to have a good argument. So what exactly is happening? And what is the
limit of AInon theortical limit of AI?Same for this question.
Hope this explanation helps; tried to ELI5.
- Comment on Top of the world, ma 4 weeks ago:
Sir, this is a shitpost.
- Comment on Where are the marketing volunteers? 1 month ago:
mission and vision of Lemmy must be defined
Do you think each niche Lemmy instances should have their own mission and vision, and market themselves accordingly? I’d imagine lemmy.world can represent Lemmy as whole, but something like ani.social speaks more to weebs IMO.
- Comment on Where are the marketing volunteers? 1 month ago:
What is the best way for Lemmy to get more users?
- Comment on Where are the marketing volunteers? 1 month ago:
Why not? Would it enshittify the platform or something?
- Comment on Where are the marketing volunteers? 1 month ago:
I know a couple; they are very smart.
- Comment on Where are the marketing volunteers? 1 month ago:
When we write reviews or share things.
My understanding is that marketeers would have thought their company’s acquisition / retention / etc problems through, then decide on the best approach to deal with the problem.
In some cases, marketeers recognised that having reviews bring the most value to their organisations, and would then create means for end users to “write reviews or share things”.
^This problem-solving is the real marketing work, not us end users spreading the word.
- Comment on Where are the marketing volunteers? 1 month ago:
Off-topic, but is there any advice you would give to Lemmy and / or Fediverse?
- Comment on Where are the marketing volunteers? 1 month ago:
That makes sense.
- Comment on Where are the marketing volunteers? 1 month ago:
Social media is only one marketing channel, no? How does that tie in to marketeers volunteering their time?
- Submitted 1 month ago to [deleted] | 30 comments
- Comment on Birbs & Dinos 2 months ago:
All dinosaurs are birdsAll birds are dinosaurs.
- Comment on Gotta Catch 'Em All 2 months ago:
I guess I am getting old. The only Pokemon I recognised is Diancie😔
- Comment on Where Winds Meet players are tricking AI-powered NPCs into giving them rewards by using the 'Solid Snake method' 3 months ago:
Nevermind. You got me. Well-played.
- Comment on Where Winds Meet players are tricking AI-powered NPCs into giving them rewards by using the 'Solid Snake method' 3 months ago:
It’s mentioned in the article.
- Comment on I dunno 3 months ago:
Where are pemdas and bodmas users from?
- Comment on Priorities 4 months ago:
Wish granted.
You are now a chicken.
- Comment on Priorities 4 months ago:
But pterodactyl isn’t a dinosaur…
- Comment on How Do The Normal People Survive? 5 months ago:
???
Perhaps I’m too dumb to understand it, but I don’t see how whatever you just said is relevant to the article.
- Comment on Friday is a great F word 5 months ago:
Friend
- Comment on anime horse 5 months ago:
- Comment on Who is the enemy? 6 months ago:
They keep breaking our beautiful games and optimizing the fun out of them!
playersspeedrunners - Comment on I had never had much interest in food preparation but it's actually kinda interesting 6 months ago:
- Comment on My new laptop chip has an 'AI' processor in it, and it's a complete waste of space 6 months ago:
Someone with the expertise should correct me if I am wrong; it’s been 4-5 years since I learnt about NPUs during my internship so I am very rusty:
You don’t even need a GPU if all you want to do is to run (i.e. perform inference using) a neural network (abbreviating it to NN). Just a CPU would do if the NN is sufficiently lightweight. The GPU is only needed to speed up the training of NNs.
The thing is, the CPU is a general-purpose processor, so it won’t be able run the NN optimally / as efficiently as possible. Imagine you want to do something that requires the NN and as a result, you can’t do anything else on your phone / laptop (it won’t be problem for desktops with GPUs though).
Where NPU really shines is when there are performance constraints on the model: when it has to be fast, lightweight and memory efficient. Use cases include mobile computing and IoT.
In fact, there’s news about live translation on Apple AirPod. I think this may be the perfect scenario for using NPUs - ideally housed within the earphones directly but if not, within a phone.
Disclaimer: I am only familiar with NPUs in the context of “old-school” convolutional neural networks (boy, tech moves so quickly). I am not familiar with NPUs for transformers - and LLMs by extension - but I won’t be surprised if NPUs have been adapted to work with them.
- Comment on My new laptop chip has an 'AI' processor in it, and it's a complete waste of space 6 months ago:
I’m pretty sure most video games require AI already. I have difficulty naming even one that doesn’t use AI.
Neural nets, on the other hand - I find it hard to imagine one running locally without impacting performance.
- Comment on Hmmm... 6 months ago:
They are all fish 🤓
- Comment on what are in you're top 3 favourite games of all time? 6 months ago:
I don’t like it actually but I have over 5k hours in Dota 2.
Average dota 2 experience.
- Comment on what are in you're top 3 favourite games of all time? 6 months ago:
- Singaporean Bridge - It’s basically a crossover of Bridge and Werewolf / Polar Bear / Among Us. That small change of not knowing who your partner is makes for games that are way more fun.
- Pokemon Soulsilver - I love the following mechanic. The other features of the game are really great too.
- Raze 2 - I have seen others describe it as the “Halo of flash games”
- Comment on [deleted] 8 months ago:
Donate some of it to charity.
- Comment on The future is amazing 8 months ago:
peak
