#Need tutorials or free YouTube guides for creating ai
30 messages · Page 1 of 1 (latest)
What specifically do you mean by AI? ChatGPT? Or are you wanting to build systems that can learn from data to make predictions?
I know python basics cause it clicked really easy, and learning C+/ C++, a good amount of lua
Well my goal seems a little impossible, I want to make something more advanced than ChatGPT. Something that can teach itself but to do that I have to know how its made without it.
Without the advanced stuff
Then you know AI is allready smth like this:
def myoutput(ins):
if isinstance(ins, str)
print("thats a string")
else:
print("sadly no string")
myoutput(5)
myoutput("banana")
so more definition fo what you think AI is^^
Yeah but, I mean how it predicts what to say next
then u need to study LLMs
Thats the word that sounds like what I need
tons of statistic and optimizations
That is not AI. AI, in the sense OP is talking is neural networks
Large Language Models
So LLM and Neural Networks?
I even studied the brain Grey matter vs White matter ðŸ˜
Also the instinct of every animal being Survival which causes them to evolve
To train AI you need very powerful computers. I’m building one rn just to run AI and I have another computer coming later this year that should be able to run even larger AI models. Training is a step above running AI.
What kind of computer do you have?
colab research google seems free and I think can handle that
It was AI till a few years ago xD
Thats the lowest level of AI you can get.
In the end a AI allways analyzes inputs and returns a output.
Same what we do as humans, something happens and we react (conscious or unconscious)
Look into RAG and running your own AI locally using tools like Ollama. It’ll get you started and you can begin experimenting with different ideas.
No not really. Neural networks are decades old, even GPTs aren’t a new technology. That stuff is only really becoming a big deal now because compute has caught up with theory
So the colab thing dont work?
I’ve not used colab. I know it can be used for machine learning, which is a large part of how GPTs and LLMs work
well everything you learn can add up to knowledge and thoughts you ddint had before, so ust look into one thing after another and chain them to the knowledge you need.
But tehre was something from google iirc, that expalined basics of LLM pretty well (but huge topic tho)
Well you guys narrowed down the topics, thanks.
i think u meant this:
https://colab.google/resources/
At Google, we think the impact of AI will be most powerful when everyone can use it. Explore our tools.
the resources are good.
This is for grabbing test data & some more(not looked deep):
https://www.kaggle.com
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
basics of statistics easy explained:
https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw
(found it helpfull when i had my AI course xD still couldnt catch up the tempo and stopped looking into it)
Statistics, Machine Learning and Data Science can sometimes seem like very scary topics, but since each technique is really just a combination of small and simple steps, they are actually quite simple. My goal with StatQuest is to break down the major methodologies into easy to understand pieces. That said, I don't dumb down the material. Instea...
*** Well see you in a year again^^***
If you have any questions about it feel free to ask. I've been coding for 20 years and I'm currently learning about and experimenting with AI and LLMs myself. I know we have some other community members that are also doing a lot of the same 
If you actually want to do ML research:
- Get a degree in computer science and or math
- Do more math
- Watch Andrej Karpathy's lectures on LLMs
- Notice that LLMs are not the path to AGI
- Break down and cry because you don't have $500 billion to spend on GPUs
- Work at a normal AI lab