Perplexity for LLM Evaluation
Perplexity is, historically speaking, one of the "standard" evaluation metrics for language models. And while recent years have seen a…
SAM + Stable Diffusion for Text-to-Image Inpainting
In this article, we’ll leverage the power of SAM, the first foundational model for computer vision, along with Stable Diffusion,…
Image Inpainting for SDXL 1.0 Base Model + Refiner
In this article, we’ll compare the results of SDXL 1.0 with its predecessor, Stable Diffusion 2.0. We’ll also take a…
Organize Your Prompt Engineering with CometLLM
Introduction Prompt Engineering is arguably the most critical aspect in harnessing the power of Large Language Models (LLMs) like ChatGPT. Whether…
Explainable AI: Visualizing Attention in Transformers
In this article we explore one of the most popular tools for visualizing the core distinguishing feature of transformer architectures:…
Debugging Image Classifiers With Confusion Matrices
Introduction We often rely on scalar metrics and static plots to describe and evaluate machine learning models, but these methods…
Meta-Learning: Learning to Learn in Machine Learning
In the ever-evolving landscape of artificial intelligence and machine learning, researchers and practitioners continuously seek to elevate the capabilities of…
