Imagen: A text-to-image diffusion model
In this article, we introduce the diffusion model that started the revolution: Google's Imagen!
a year ago
Adrien Payong
Adrien Payong is a seasoned computer scientist specializing in artificial intelligence research.
Review - STAR framework and ASP programming for NLU Tasks-part 2: Solving Word Problems in Algebra
Our follow up on the STAR Framework, this time showing how to solve word problems in algebra in Python.
a year ago
Review - STAR framework and ASP programming for NLU Tasks: part 1
In part one of this review series, we look at the STAR framework and assess its capabilities for taking on Natural Language Understanding tasks.
a year ago
Overview of the Transformer Architecture
In this article, we examine the theoretical design behind the popular Transformers architecture, and attempt to explain the underlying mechanisms that have lead to its success in such a wide array of AI disciplines.
a year ago
Review - Text Summarization With Pretrained Encoders
In this review, we examine popular text summarization models, and compare and contrast their capabilities for use in our own work.
a year ago
Review of Imagination-Guided Open-Ended Text Generation
This review covers different methodologies for open-ended text generation
a year ago
Context-Based Automated Conversational System Using a Pretrained Model
Follow this guide to create a conversational system with a pretrained LLM in Paperspace.
a year ago
Review- CausalML: A Python Package for Causal Machine Learning
This is a review of the CausalML package, a Python package that provides a suite of uplift modeling and causal inference methods using machine learning algorithms based on recent research.
2 years ago
Introduction to Extractive and Abstractive Summarization Techniques
In this theory we cover the background theory behind a variety of methodologies for abstractive text summarization
2 years ago
