Beyond Static Image Generation: Taking Stable Diffusion to the Next Level
In my last blog post I have shown how to download the Stable Diffusion model weights and set up an image generation workflow yourself using the Stable Diffusion model as provided by the Huggingface Transformers library. Although these text-to-image generation results can be pretty awesome, you can get similar results by interfacing with the DALL-E 2 playground which is publicly accessible without being on a wait list nowadays.
Nov 7, 2022
Join the AI-Based Image Generation Revolution With Stable Diffusion
The AI field is advancing in an incredible pace and 2022 has been shaken up by a few major announcements of algorithms able to generate fantastic images just by providing a text prompt. Some incredible work has been done by the OpenAI team which introduced DALL-E 2 to the public in March 2022, but also by Google Research who introduced Imagen a few months later.
Sep 27, 2022
Master Data Attribute Recommendation using SAP AI Core and T5 Transformers
Master data maintenance is a time-consuming activity for many businesses. Companies like retailers selling large amounts of different articles or manufacturing companies processing raw materials into finished goods can easily collect databases containing hundreds of thousands of master data items, which in turn may possess many hundreds of attributes. This blog post proposes a way of populating these attributes by applying a transformer-based Large Language Model.
Jun 28, 2022
A no-code introduction to Reinforcement Learning
In my previous blog post on reinforcement learning I demonstrated a way to get a gentle introduction into this field by using Keras-RL2. While writing that I found it quite difficult to get an overview of the many reinforcement learning frameworks available today which all have different levels of maturity.
Jun 7, 2022
Quickly getting started with Deep Reinforcement learning on Atari games
The last few weeks I have been experimenting with deep neural networks for Reinforcement Learning. Reinforcement Learning is a way to learn to apply a sequence of events and has its root in control problems. Recent years it has been combined with deep neural networks to train a neural network on the game state and determine the next best action to take in video games. This post describes a way to quickly get started yourself with applying reinforcement learning to have an AI play simple Atari games.
Mar 9, 2022