Artificial Intelligence

LLMs have a vast knowledge base, but training them with domain-specific data can extend their capabilities to specialized industries and tasks. This article delves into data labeling for fine-tuning and includes a step-by-step tutorial for training GPT-4o.

It’s crucial to balance accuracy and efficiency when labeling datasets for machine learning—especially when LLMs are involved. In this article we explore a variety of techniques and assess the optimal labeling methods for different projects.

Machine learning models are trained on massive datasets in which each data point is labeled to give it context and meaning. This deep dive describes how to build a data labeling architecture from scratch, with a focus on workflow, security, and data quality.

Image labeling can be a tedious, time-consuming task, compounded by the sheer volume of data needed to train deep neural networks. This article breaks down large data set processing and explains how a new SaaS product can help automate image labeling.

In this ask-me-anything-style Q&A, leading Toptal cybersecurity expert Ilia Tivin responds to colleagues’ questions on AI in cybersecurity and provides data and network protection tips and best practices.

Generative AI advances raise new questions around data ownership, content integrity, algorithmic bias, and more. Here, three experts at the forefront of NLP present recommendations for developing ethical generative AI solutions.

In this ask-me-anything-style Q&A, leading Toptal AI developer Joao Diogo de Oliveira fields questions from fellow engineers about resources for pivoting to ML, approaches to large language models, and the most critical future applications of AI.

Generative AI is taking the world by storm, with potentially profound impacts on the content we create. Learn the basics of AI image generation and produce sophisticated artistic renderings with this tutorial.

Want to expand your skills amid the current surge of revolutionary language models like GPT-4? In this ask-me-anything-style tutorial, Toptal data scientist and AI engineer Daniel Pérez Rubio fields questions from fellow programmers on a wide range of machine learning, natural language processing, and artificial intelligence topics.