Blog

How Gust Trained a Custom Spam Filter using Nyckel

It was wonderful. This has saved us a ton of time, we got to sunset all of the naïve modelling code. It allowed us to take this huge time waster, both in terms of technical cost and operational cost – and just get rid of it! – Peter, CEO, Gust
Oscar Beijbom Aug 2022

IAB Classification of Text and Images Using Machine Learning

IAB is a content taxonomy that is used by content publishers to organize their content in a consistent way. In this post we show you how to classify text and image content into IAB categories without any labeled data.
George Mathew Jul 2022

A Quick Look at Text Search Functions

See some of the creative ways to add smarts to your application with Text Search
Dan Ott May 2022

Custom AI-Assisted Content Moderation

Online communities need content moderation to thrive, but the diversity of the internet is not fully served by general purpose content moderation APIs. We lay out the need for custom AI-assisted content moderation, look at what such a moderation pipeline would look like, and show how Nyckel makes it significantly easier to build such a pipeline.
George Mathew Apr 2022

ML is Just a Developer Tool

... at least for now
Dan Ott Apr 2022

Introducing Nyckel Image Search Functions

Nyckel Image Search functions enable cross-modal semantic search of images and text using the latest Deep Learning technology. Get started with a few simple API commands.
Oscar Beijbom Apr 2022

Machine Learning on Tabular Data with Nyckel

Nyckel releases a new feature to create Machine Learning models for tabular data in minutes.
George Mathew Jan 2022

Nyckel Accepted to Y Combinator (W22)

Nyckel has been accepted to Y Combinator batch of Winter 2022!
Oscar Beijbom Jan 2022

Machine Learning is Still Too Hard for Software Engineers

Machine Learning has made huge strides in the last few decades, but it remains largely inaccessible to the average developer. This post examines some of the reasons why.
George Mathew Jan 2022

A top 3% score in the Kaggle Titanic Challenge using Transformers

In this post we show how to make a top 3% submission on the Kaggle Titanic Challenge using Transformers
Oscar Beijbom Oct 2021

Local Development and Validation of Nuget Packages

Learnings from setting up a local development workflow for developing and validating nuget packages
George Mathew Oct 2021

AutoML benchmark: Nyckel vs Google vs Huggingface

A comparison of accuracy, training times, and invoke latencies for three major AutoML engines
Oscar Beijbom Jun 2021

AutoML Comment Moderation in a Rails App

Using machine learning to help curate user content
Dan Ott May 2021

Add Image Classification Using Machine Learning to a Web App With a Single Line of Code

Inspired by a scene from HBO's Silicon Valley, I decided to build a website that identifies whether a photo is of a hot dog.
Jeremy Schneider Apr 2021

How to Add Custom Image Classification To Your Application Using Machine Learning (The Easy Way!)

It’s often valuable to be able to programatically classify an image into a category. This post explains how you can use Nyckel to do that in minutes.
Jeremy Schneider Apr 2021