Primera letra de cada palabra en mayúsculas en Python

07 of september of 2024

String title

Disclaimer: This post has been translated to English using a machine translation model. Please, let me know if you find any mistakes.

Let's suppose we have the following string

	
		string = "This is a string"
print(string)

	
		This is a string

Python has a method to see the first letter of each word in uppercase, the method is called title()

	
		print(string.title())

	
		This Is A String

Continue reading

RAG fundamentals

Forget about Ctrl+F! 🤯 With RAG, your documents will answer your questions directly. 😎 Step-by-step tutorial with Hugging Face and ChromaDB. Unleash the power of AI (and show off to your friends)! 💪

Conventional commits

😠 Are your commits written in alien language? 👽 Join the club! 😅 Learn Conventional Commits in Python and stop torturing your team with cryptic messages. git-changelog and commitizen will be your new best friends. 🤝

DoLa – Decoding by Contrasting Layers Improves Factuality in Large Language Models

Have you ever talked to an LLM and they answered you something that sounds like they've been drinking machine coffee all night long 😂 That's what we call a hallucination in the LLM world! But don't worry, because it's not that your language model is crazy (although it can sometimes seem that way 🤪). The truth is that LLMs can be a bit... creative when it comes to generating text. But thanks to DoLa, a method that uses contrast layers to improve the feasibility of LLMs, we can keep our language models from turning into science fiction writers 😂. In this post, I'll explain how DoLa works and show you a code example so you can better understand how to make your LLMs more reliable and less prone to making up stories. Let's save our LLMs from insanity and make them more useful! 🚀

Last posts -->

Have you seen these projects?

Subtify

GPU monitor

Alfred

View all projects -->

Do you want to apply AI in your project? Contact me!

Do you want to improve with these tips?

Memory Calculator

Space to calculate the memory needed to run a model

Code formatter Black

Your colleague Patric is writing code that is hard to read? Share with him this code formatter that I show you in this post! Come in and learn how to format code to make it more understandable. We are not going to solve Patric's problems, but at least you won't suffer when reading it

Declarar redes neuronales de forma clara

Declare neural networks clearly in Pytorch

Last tips -->

Use this locally

Hugging Face spaces allow us to run models with very simple demos, but what if the demo breaks? Or if the user deletes it? That's why I've created docker containers with some interesting spaces, to be able to use them locally, whatever happens. In fact, if you click on any project view button, it may take you to a space that doesn't work.