Insights, tips, and product updates

A simple to use algorithm to automatically detect labeling errors with the help of Cleanlab for image classification projects in Kili.

Document annotation is one of the key bases of training data, significantly impacting the efficiency of machine learning and natural language processing applications. Deep dive into the process of document annotation and learn why it's important for you to choose a good annotation tool.

When it comes to collecting and analyzing data in images and videos, one of the most efficient tools is the bounding box. Focus on these helpful imaginary boxes.

7 ready-to-go steps to improve your data annotation project management get excellent-quality training data, and (finally) performing ML models.

What is unstructured document layout analysis? How unstructured document impact the training process of your ML model? Here are your answers.

Learn how businesses use intelligent data extraction to classify, sort, and process data at scale with greater speed and accuracy.

Data annotation for machine learning should not be underestimated.

In this article, we start with the basics: How do I enable OCR in PDF? How can I tell if a PDF is text searchable? How do I make text searchable in Adobe PDF? And most of all, how can I extract the key information of that PDF to train a Machine Learning model? Let's dive into it.

This article describes how machine learning can interpret natural language processing and why a hybrid NLP-ML approach is highly suitable.

How to train a fake news detector using ECTF dataset after extracting new fields by Twitter API? How can new fields show us further insights?

Kili Technology

Computer vision applies deep learning to images & videos to detect & distinguish objects. Read on to learn how it works, the history behind it, and what lies ahead.

We're thrilled to announce that Kili Technology has been re-audited by Barr and is SOC2 certified for the second year. Here’s a look a the enhanced security, reliability, and trustworthiness this implies.

Cutting through the noise to understand what makes Foundation Models and LLMs so special compared to previous ML paradigms.

Discover the latest image annotation challenge with Kili Technology! By annotating more than 4000 images, our community was able to build a large dataset to detect plastic in rivers. Learn more about our journey here.

Cloud vs On-Premise? How about both? For years now, people have been predicting rough days for on-premise deployments, with cloud-based hosting poised to replace them. At Kili, we didn’t share this enthusiasm: for many companies, sending sensitive data to SaaS is still a no-go, privacy issues being their major concern. This is why the whole time we’ve been committed to offering Kili both as a SaaS and an on-premise solution.

Sometimes, you need to label the data you'll use for your AI model yourself. Find out how to build an efficient labeling plan here.

Kili's command-line interface (CLI) tool is out! Discover how it allows you to trigger key actions on your project with short commands from the terminal.

Kili tool uses pydicom, a pythion package, to read medical data in dicom format. Follow step by step process to read and label dicom medical images.

Training data is vital for accurate ML models. See this free AI training data guide to answer crucial questions and discover valuable tips.