Articles for category: AI Tools

A Comprehensive Guide To Digital Driving License Code. Ultimate Guide To Digital Driving License Code

The Rise of Digital Driving Licenses: A New Era in Mobility In the quickly progressing landscape of technology and digital improvement, the conventional paper-based driving license is making way for a more contemporary, efficient, and safe option: the digital driving license (DDL). This shift is not simply a matter of convenience; it represents a significant step forward in how federal governments and individuals handle and verify personal recognition and driving credentials. This post checks out the idea of digital driving licenses, their advantages, implementation difficulties, and the future they promise. What is a Digital Driving License? A digital driving license

explosion/spacy-huggingface-hub: 🤗 Push your spaCy pipelines to the Hugging Face Hub

This package provides a CLI command for uploading any trained spaCy pipeline packaged with spacy package to the Hugging Face Hub. It auto-generates all meta information for you, uploads a pretty README (requires spaCy v3.1+) and handles version control under the hood. 🤗 About the Hugging Face Hub The Hugging Face Hub hosts Git-based repositories which are storage spaces that can contain all your files. These repositories have multiple advantages: versioning (commit history and diffs), branches, useful metadata about their tasks, languages, metrics and more, browser-based visualizers to explore the models interactively in your browser, as well as an API

Fine-Tune W2V2-Bert for low-resource ASR with 🤗 Transformers

New (01/2024): This blog post is strongly inspired by “Fine-tuning XLS-R on Multi-Lingual ASR” and “Fine-tuning MMS Adapter Models for Multi-Lingual ASR”. Introduction Last month, MetaAI released Wav2Vec2-BERT, as a building block of their Seamless Communication, a family of AI translation models. Wav2Vec2-BERT is the result of a series of improvements based on an original model: Wav2Vec2, a pre-trained model for Automatic Speech Recognition (ASR) released in September 2020 by Alexei Baevski, Michael Auli, and Alex Conneau. With as little as 10 minutes of labeled audio data, Wav2Vec2 could be fine-tuned to achieve 5% word-error rate performance on the LibriSpeech

How to Turn Your Nigerian Website into a Mobile App Without Breaking the Bank

Introduction The mobile revolution is here, and Nigerian businesses that fail to adapt risk losing customers to competitors who are embracing mobile-first strategies. With over 60 million active smartphone users in Nigeria, having a mobile app is no longer a luxury, it’s a necessity. But what if you already have a website? Do you need to build a mobile app from scratch? Not necessarily! The good news is that you can convert your existing website into a mobile app affordably. In this article, we’ll explore cost-effective ways to transform your website into a mobile app, the benefits of progressive web

Introducing spaCy v3.1 · Explosion

It’s been great to see the adoption of spaCy v3, which introduced transformer-based pipelines, a new config and training system and many other features. Version 3.1 adds more on top of it, including the ability to use predicted annotations during training, a component for predicting arbitrary and overlapping spans and new trained pipelines for Catalan and Danish. For a full overview of what’s new in spaCy v3.1 and notes on upgrading, check out the release notes and usage guide. Here are some of the most relevant additions: By default, components are updated in isolation during training, which means that they

PatchTSMixer in HuggingFace

PatchTSMixer is a lightweight time-series modeling approach based on the MLP-Mixer architecture. It is proposed in TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting by IBM Research authors Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong and Jayant Kalagnanam. For effective mindshare and to promote open-sourcing – IBM Research joins hands with the HuggingFace team to release this model in the Transformers library. In the Hugging Face implementation, we provide PatchTSMixer’s capabilities to effortlessly facilitate lightweight mixing across patches, channels, and hidden features for effective multivariate time-series modeling. It also supports various attention mechanisms starting from simple gated attention

How to Push to a Private GitHub Repository Using a Fine-Grained Personal Access Token

If you have an existing local Git repository and need to push it to a private GitHub repository, but GitHub is rejecting your credentials, you may need to use a fine-grained personal access token (PAT). This guide will walk you through the process step by step. Step 1: Generate a Fine-Grained Personal Access Token (PAT) GitHub has moved away from password authentication for Git operations, so you must use a personal access token (PAT) instead. 1.1 Navigate to GitHub Settings 1.2 Configure Token Permissions Repository Access: Select the specific repository you want to push to. Permissions: Under “Repository permissions,” set

Mastering spaCy

An end-to-end practical guide to implementing NLP applications using the Python ecosystem. By the end of this book, you’ll be able to confidently use spaCy, including its linguistic features, word vectors, and classifiers, to create your own NLP apps. Source link

Open-source LLMs as LangChain Agents

Open-source LLMs have now reached a performance level that makes them suitable reasoning engines for powering agent workflows: Mixtral even surpasses GPT-3.5 on our benchmark, and its performance could easily be further enhanced with fine-tuning. We’ve released the simplest agentic library out there: smolagents! Go checkout the smolagents introduction blog here. Introduction Large Language Models (LLMs) trained for causal language modeling can tackle a wide range of tasks, but they often struggle with basic tasks like logic, calculation, and search. The worst scenario is when they perform poorly in a domain, such as math, yet still attempt to handle all

From Bump to Google Photos: The Journey of David Lieb and His Team

In a challenging time for David Lieb and his team, they faced the pressure of high expectations. With 150 million users of their app Bump, they were at the top, but they knew it was all about to change. Their second app, Flock, didn’t take off either. Running low on funds, they needed a new direction. This is the story of how they turned their struggles into the foundation for Google Photos. Key Takeaways Bump was a hit but faced inevitable failure. Flock didn’t succeed, leading to financial pressure. Paul Graham’s advice pushed them to think bigger. They decided to