Articles for category: AI Tools

March 30, 2025

ikayaniaamirshahzad@gmail.com

Making LLMs lighter with AutoGPTQ and transformers

Large language models have demonstrated remarkable capabilities in understanding and generating human-like text, revolutionizing applications across various domains. However, the demands they place on consumer hardware for training and deployment have become increasingly challenging to meet. 🤗 Hugging Face’s core mission is to democratize good machine learning, and this includes making large models as accessible as possible for everyone. In the same spirit as our bitsandbytes collaboration, we have just integrated the AutoGPTQ library in Transformers, making it possible for users to quantize and run models in 8, 4, 3, or even 2-bit precision using the GPTQ algorithm (Frantar et

March 30, 2025

ikayaniaamirshahzad@gmail.com

Weekly Challenge: Sorted equally – DEV Community

Weekly Challenge 314 Each week Mohammad S. Anwar sends out The Weekly Challenge, a chance for all of us to come up with solutions to two weekly tasks. My solutions are written in Python first, and then converted to Perl. It’s a great way for us all to practice some coding. Challenge, My solutions Equal Strings Task You are given three strings. You are allowed to remove the rightmost character of a string to make all equals. Write a script to return the number of operations to make it equal otherwise -1. My solution With these challenges, it’s sometimes more

March 30, 2025

ikayaniaamirshahzad@gmail.com

An interview with Ines Montani, Co-founder at Explosion | by Sayak Paul

Our interviewee today is Ines Montani. Ines is the Co-founder of Explosion. This is the company that developed spaCy which is one of the leading open-source NLP libraries. Ines and her team at Explosion also developed Prodigy which is an annotation tool for AI, Machine Learning and NLP. Ines is an international speaker too. She enjoys giving talks at several conferences and loves teaching people. I had the pleasure of meeting and greeting Ines at PyCon India 2019. All the details of her talks and blogs can be found here. Ines developed a free online course Advanced NLP with spaCy

March 30, 2025

ikayaniaamirshahzad@gmail.com

Llama 2 learns to code

Code Llama is a family of state-of-the-art, open-access versions of Llama 2 specialized on code tasks, and we’re excited to release integration in the Hugging Face ecosystem! Code Llama has been released with the same permissive community license as Llama 2 and is available for commercial use. Today, we’re excited to release: Models on the Hub with their model cards and license Transformers integration Integration with Text Generation Inference for fast and efficient production-ready inference Integration with Inference Endpoints Integration with VS Code extension Code benchmarks Code LLMs are an exciting development for software engineers because they can boost productivity

March 30, 2025

ikayaniaamirshahzad@gmail.com

RepoGuardian: Auto-Fix GitHub Repos with Pulumi and Python

This is a submission for the Pulumi Deploy and Document Challenge: Get Creative with Pulumi and GitHub What I Built I built RepoGuardian, a GitHub repository linter and auto-fixer using Pulumi Automation API and the Pulumi GitHub Provider, fully written in Python. RepoGuardian scans all repositories under a GitHub account or organization, checks for missing README.md and LICENSE files, and automatically commits those files using Pulumi — ensuring consistent documentation across all repositories. It runs fully from Python using the Automation API, with no manual Pulumi CLI steps. Live Demo Link This project does not have a web-based demo. It

March 30, 2025

ikayaniaamirshahzad@gmail.com

Deprecation of Git Authentication using password

Because we are committed to improving the security of our services, we are making changes to the way you authenticate when interacting with the Hugging Face Hub through Git. Starting from October 1st, 2023, we will no longer accept passwords as a way to authenticate your command-line Git operations. Instead, we recommend using more secure authentication methods, such as replacing the password with a personal access token or using an SSH key. Background In recent months, we have implemented various security enhancements, including sign-in alerts and support for SSH keys in Git. However, users have still been able to authenticate

March 30, 2025

ikayaniaamirshahzad@gmail.com

Dockerizing a Candy Crush Clone: Three Approaches for Efficiency and Security

When containerizing applications, the image size and security considerations play a significant role in deployment efficiency. Ever wondered why some Docker images are massive while others are lightweight and secure? In this post, we’ll explore three different ways to Dockerize a Candy Crush-like app, highlighting their impact on size and security. 1. Basic Approach: Large Docker Image This is the simplest method, using an official Node.js image. While it’s easy to implement, it results in a large image size. # Use Node.js LTS version as the base image FROM node:16 # Set the maintainer information LABEL maintainer="gupta.surender.1990@gmail.com" # Set the

March 30, 2025

ikayaniaamirshahzad@gmail.com

KĂĽnstliche Intelligenz beyond the hype

Hallo, ich bin Tonis virtueller Assistent und helfe bei der Terminbuchung. Hast du Montag um 13 Uhr Zeit? Nein, aber Dienstag würde mir passen. Bitte bestätige: Dienstag um 13 Uhr? 13 Uhr ist schlecht, aber 15 Uhr geht. Okay, ich bestätige den Termin mit Toni am Dienstag um 15 Uhr EST. Stop, meine Zeitzone ist CET!!! Sorry, ich habe dich nicht verstanden. “Fensterklopfmaschine” “Wecker” Source link

March 30, 2025

ikayaniaamirshahzad@gmail.com

AudioLDM 2, but faster ⚡️

AudioLDM 2 was proposed in AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining by Haohe Liu et al. AudioLDM 2 takes a text prompt as input and predicts the corresponding audio. It can generate realistic sound effects, human speech and music. While the generated audios are of high quality, running inference with the original implementation is very slow: a 10 second audio sample takes upwards of 30 seconds to generate. This is due to a combination of factors, including a deep multi-stage modelling approach, large checkpoint sizes, and un-optimised code. In this blog post, we showcase how to use