In this blog post, we empirically investigated portrait generation using diffusion models. Imitating human evaluation, we objectively measured aspects usually left to subjective manual checks and arbitrary decisions.

In this article, we share our insights related to two main ways of accessing the OpenAI models, both directly from the organization’s API and via Microsoft Azure OpenAI Service.

This is the second post in our series “Diffusion models in practice”. In this article, we start our journey into the practical aspects of diffusion modeling, which we found even more exciting. First, we would like to address a fundamental question that arises when one begins to venture into the realm of generative models: Where to start?

It is widely known that computer vision models require large amounts of data to perform well. Unfortunately, in many business cases we are left with a small amount of data. There are several approaches to overcoming the issue of insufficient data, one of which is supplementing the available dataset with new images, which is discussed in this article.

This report is an attempt to explain and summarize the diverse landscape of LLMs in early 2023.