Forwarded from Zaya
Recursion in DSA always felt a little poetic to me.
A function whispering the same question to itself...again and again
until the problem slowly softens
and the answer quietly appears.....
#random
@zaya_journal
A function whispering the same question to itself...again and again
until the problem slowly softens
and the answer quietly appears.....
#random
@zaya_journal
❤4
Lumina
If you ever struggle with understanding recursion like me, check this site out... The animated visualizations really make it much easier to understand...from today's A2SV lecture btw @ahlumina
Just enter the recursive function, and it will visualize it as a tree, making it easier to understand.
@R0bstack
@R0bstack
❤3
do you guys know what GPT stands for ?
GPT stands for Generative Pre-trained Transformer.
But what is a Transformer? It’s a deep learning architecture that uses attention mechanisms to understand relationships between words in a sequence and it is cleaner, faster, and way more scalable than the ones that came before. GPT specifically runs on a decoder-only setup.
If you wanna go deep and explore how LLMs are made, there’s a book called How to Build LLMs from Scratch. but building one from scratch right now isn’t really a wise move.
@R0bstack
But what is a Transformer? It’s a deep learning architecture that uses attention mechanisms to understand relationships between words in a sequence and it is cleaner, faster, and way more scalable than the ones that came before. GPT specifically runs on a decoder-only setup.
If you wanna go deep and explore how LLMs are made, there’s a book called How to Build LLMs from Scratch. but building one from scratch right now isn’t really a wise move.
@R0bstack
✍2
Rob Stack
do you guys know what GPT stands for ? GPT stands for Generative Pre-trained Transformer. But what is a Transformer? It’s a deep learning architecture that uses attention mechanisms to understand relationships between words in a sequence and it is cleaner…
Build a Large Language Model from Scratch.pdf
3.9 MB
👌2
https://github.com/Robel-w/fake-news-detection
Neural Network model that can classify news headlines as either Fake or Real.
@R0bstack
Neural Network model that can classify news headlines as either Fake or Real.
@R0bstack
GitHub
GitHub - Robel-w/fake-news-detection
Contribute to Robel-w/fake-news-detection development by creating an account on GitHub.
🔥8
Rob Stack
week 10 ~After almost a month without my PC, this week was about regaining control. @R0bstack
week 11
~Learned and built a Neural Network project
~Learned about LLM's
~A2SV took most of my time
it was a W week ✨
@R0bstack
~Learned and built a Neural Network project
~Learned about LLM's
~A2SV took most of my time
it was a W week ✨
@R0bstack
🔥9
Forwarded from SeeFun.Dev (Sifen)
qstash-worker
Here’s how it works: QStash lets you schedule tasks, or "messages," to be delivered to your backend at a specified time.
For example, if a user schedules a meeting for an hour later and you want to send a reminder email at that time, you create a scheduled message in QStash with the necessary data. When the scheduled time arrives, QStash sends the data to your backend via a webhook, and your backend can then process it, such as sending the email.
@sifendev
Here’s how it works: QStash lets you schedule tasks, or "messages," to be delivered to your backend at a specified time.
For example, if a user schedules a meeting for an hour later and you want to send a reminder email at that time, you create a scheduled message in QStash with the necessary data. When the scheduled time arrives, QStash sends the data to your backend via a webhook, and your backend can then process it, such as sending the email.
@sifendev
GitHub
GitHub - sifenfisaha/qstash-worker
Contribute to sifenfisaha/qstash-worker development by creating an account on GitHub.
❤5