Generative Artificial Intelligence: Weekly update of the cutting edge

Welcome to the Boston/Cambridge Machine Learning/Artificial Intelligence Meetup Group!
If you are passionate about Machine Learning, Artificial Intelligence and other algorithms like sequence prediction especially related to images & languages, encoder, decoder model became really famous which comes under the category of Autoregressive predictions and the current cutting edge architecture is one called transformer
a) Attention is all you need
b) Textbook is all you need
In terms of your question of VGG, RESNET, these have preferences towards images and current model in this series which is famous is diffusion model, specifically Denoising Diffusion models(DDM).
a) Dall E
b) Imagenet are implementation of DDMs.
Deepfakes in videos are product of this.
In terms of supervised models with a specific subset of independent variables like health, if Y(dependent variable was categorical), then it would turn into a classification model, like Support vector machines from the kernel methods category of models. Another one in this category, Random fourier features(RFF) which is sampling based over a radial basis function(RBF) kernel.
One can also do gradient boosting over any of the models, which is an improvement method over all of these models.
In terms of Speech recognition models, where language models were dominantly used as a precursor, the dominant deep learning approach is 'End to End Models'
There are 100s or 1000s of sub class of problems with their own set of solutions and many open questions which all use some version of deep learning approach. There is no one size-fits-all-approach.
Join us to connect with like-minded individuals, collaborate on cutting-edge projects, and exchange knowledge and ideas about the latest trends and techniques in Machine learning & Artificial Intelligence. Whether you are a beginner or an expert, our group is open to all levels of experience.
Let's explore the world of ML/AI and create personalized experiences together!