Blog
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Efficient Data Annotation With Annolive’s Bulk Annotation
Welcome to this guide to bulk annotate your whole data with a single click in Annolive, using GPT or your own trained model. In the fast paced AI world, it is important to get the data ready quickly. Bulk Annotation feature in Annolive lets you to label the data using LLM/pretrained models in a single…
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GLiNER: Unlock Zero-Shot NER Annotation using Annolive
Welcome to this guide on implementing a custom model in Annolive, specifically focusing on using GLiNER as the custom model. We will cover the steps for creating a Flask app server for GLiNER and integrating it with Auto-annotation in Annolive. Annolive enables users to utilize both publicly available models and their own custom models in…
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How to Build Balanced Datasets for Multi-Label Classification
The goal was to build a high-quality, balanced dataset to create a multi-label classification model that could classify SEC explanatory notes with multiple relevant labels. Challenges Solution Approach Here’s how MJ used Annolive to address each challenge, step by step: 1. Define the Labels and Guidelines First, MJ identified the labels needed for the SEC…
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