Guides

How to automatically ingest data from Databricks into Labelbox

Learn how you can leverage Labelbox’s Databricks pipeline creator to automatically ingest data from your Databricks domain into Labelbox for data exploration, curation, labeling, and much more.

How to generate data for model comparison and RLHF

Learn how to generate human preference data for model comparison or RLHF (reinforcement learning with human feedback) with the new LLM human preference editor.

How to analyze customer reviews and improve customer care with NLP

Learn how to leverage Labelbox's data-centric AI platform to redefine customer care with AI and create solutions tailored to unique customer care challenges.

How to build a content moderation model to detect disinformation

Learn how to leverage Labelbox’s data-centric AI platform to build a model for content moderation for trust & safety applications.

Zero-Shot Learning vs. Few-Shot Learning vs. Fine-Tuning: A technical walkthrough using OpenAI's APIs & models

With large language models (LLMs) gaining popularity, new techniques have emerged for applying them to NLP tasks. Three techniques in particular — zero-shot learning, few-shot learning, and fine-tuning — take different approaches to leveraging LLMs. In this guide, we’ll walk through the key difference between these techniques and how to implement them.  We’ll walk through a case study of extracting airline names from tweets to compare the techniques. Using an entity extraction dataset, we’ll be

How to boost retail profitability with AI-powered shelf object detection

Learn how to leverage Labelbox’s data-centric AI platform to build a robust shelf object detection model to boost retail profitability.

How to fine-tune OpenAI’s GPT-3.5 Turbo using Labelbox

In this guide, we’ll cover how to leverage Open AI’s GPT-3.5 and Labelbox to simplify the fine-tuning process, allowing you to rapidly iterate and refine your models’ performance on specific data.

How to fine-tune Vertex AI LLMs with Labelbox

In this guide, we’ll cover how to leverage Vertex AI and Labelbox to simplify the fine-tuning process, allowing you to rapidly iterate and refine your models’ performance on specific data.

How to build a powerful product recommendation system for retail

Learn how to leverage Labelbox's data-centric AI platform to build a robust AI-powered product recommendation system to power personalized experiences for retail.

A guide to the Data I/O process in Labelbox

In this guide, we take an in-depth look at the Data I/O process and offer a step-by-step guide to streamline your interaction with the Labelbox platform.