In this interview, we speak with Dr. Yuriy Gankin and Maxim Kazanskii from Quantori. This innovative IT company works in AI for life science, biotech, and pharmaceutical companies developing software solutions to accelerate the discovery and development of novel therapies.
Stable Diffusion is a free, open-source neural network for generating photorealistic and artistic images based on text-to-image and image-to-image diffusion models. Read our tips to start generating your own masterpieces in minutes.
In this blog post, we explore the definition, methodology, benefits, and applications of transfer learning. We also discuss various transfer learning strategies and provide a selection of pre-trained models.
The most popular solutions for storing data today are data warehouses, data lakes, and data lakehouses. This post gives a detailed overview of these storage options and their pros and cons for specific purposes.
The k-nearest neighbors (kNN) algorithm is a simple tool that can be used for a large number of real-world problems. In this article, we cover what kNN is, how it works, and how to implement it in machine learning projects.
Explainable AI (XAI) is a set of processes, methods, and tools that help us understand the logic of ML models when making forecasts and predictions. Learn more about it by reading our introductory article.
What does it take to build a model with 12 billion parameters? Why is open-source culture important in machine learning research? Find out the answers to these questions in our interview with Sergei Markov, the chief of the SberDevices experimental machine learning systems department.