There is likely a temptation to use LLMs as a source of medical information, analogous to how experts are queried in the context of medical care, but it is important to realize that AI is in fact agnostic to the field of use. For example, when a medical trainee “asked” ChatGPT (...
Unlike proprietary AI models, DeepSeek is open-source, meaning businesses and developers can use and customize it freely. Despite being built with fewer resources than major competitors, it delivers impressive performance through advanced techniques like Multi-head Latent Attention (MLA) for efficiency...
VAEs (Variational Autoencoders)- Encode data into a latent space and decode it again. Useful for generation tasks. Diffusion Models- Add noise to data and remove it over time to generate realistic outputs. Gen AI Applications Here are some real-world gen ai use cases across different industri...
Diffusion models are a category ofgenerative AIthat excels at creating images, audio, video and other types of data by using a two-step process: forward diffusion and reverse diffusion. The first step involves distorting the data, such as an image, by gradually adding noise; this is followed...
Certain algorithmic architecturesare better suited than others for specific types of prompts, which can come in the form of text, a code snippet, an enterprise data set, an image, a video, a design, musical notes or any input that the AI system can process. Diffusion models, for example,...
Stable Diffusion, however, has its own trick to deal with high dimensionality. Instead of working with images, its autoencoder element turns them into low-dimension representations. There’s still noise, timesteps, and prompts, but all the U-Net’s processing is done in a compressed latent sp...
While VAEs can generate outputs such as images faster, the images generated by them are not as detailed as those of diffusion models. What Are the Applications of Generative AI? Due to its capabilities of generating new content, generative models can have a wide range of applications. Here ar...
Below is a breakdown: Diffusion models:Also known as denoising diffusion probabilistic models (DDPMs), diffusion models are generative models that determine vectors in latent space through a two-step process during training. The two steps are forward diffusion and reverse diffusion. The forward diffus...
It works on compressed versions of images encoded within the neural network in what’s known as a latent space, where only the essential features of an image are retained. This means Stable Diffusion requires less computing muscle to work. Unlike DALL-E 2, which runs on OpenAI’s powerful ...
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. High-resolution image synthesis with latent diffusion models. In IEEE/CVF Conf. Comput. Vis. Pattern Recog. (CVPR), 2022. 1, 2, 4, 6, 26, 28