Advanced Data Labeling Methods: From Hybrid Approaches to LLMs
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.
Advancing AI Image Labeling and Semantic Metadata Collection
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.
Schooling Flappy Bird: A Reinforcement Learning Tutorial
Leveraging DeepMind’s breakthrough AI approaches takes some work, but the results are astounding. This article guides you through the building blocks of reinforcement learning, training a neural network to play Flappy Bird using the PyTorch framework.
Introduction to Deep Learning Trading in Hedge Funds
Deep learning systems have been applied to various problems, from computer vision to speech recognition. Now, their profound impact is being felt in finance as well. This article introduces you to the intricacies of deep learning in hedge funds and finance in general.