Search results for "Artificial Intelligence"

Tech firms have enjoyed a deluge of funding in the last few years. Fintech is no exception. Now is the time to see which companies are here to stay and can become profitable - there will be some necessary consolidation and perhaps some high-profile failures.

Robotic process automation (RPA) has become a top priority for many companies in the last two years. Project Managers will increasingly have to manage projects developing software used not only by humans but also by bots. This article covers the opportunities and challenges of using RPA in project management.

Competitive strategy frameworks are widely known and mainstays of university curricula, despite being almost 40 years old. We often hear the stories of Walmart and Southwest Airlines, but what modern competitive strategy examples are there? In this article we use Michael Porter’s activity positioning framework to show successful applications of competitive strategy from modern digital companies.

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.

Generative interfaces can unlock insights at unprecedented speeds. A Toptal strategy consulting expert with experience at Deloitte and AWS explains how companies of all sizes can use Gen AI for sales, development, and customer support.

Generative AI is revolutionizing how software developers write code. In this article, three Toptal developers share how they’re using Gen AI in their daily work and offer actionable advice for others who want to utilize this nascent technology.

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.

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.

Employing Python to make machine learning predictions can be a daunting task, especially if your goal is to create a real-time solution. However, Tensorflow and Scikit-Learn can significantly speed up implementation.

In this article, Toptal Python Developer Guillaume Ferry outlines a simple architecture that should help you progress from a basic proof of concept to a minimal viable product without much hassle.

With proper instruction, LLMs can be highly effective coding assistants. This step-by-step guide shows you how to generate a call to an external API using Python and the OpenAI API.

Designing past mobile or desktop interaction boundaries and into the physical world opens up possibilities to create immersive environmental experiences.