SelfCheckGPT for LLM Evaluation
Detecting hallucinations in language models is challenging. There are three general approaches: Measuring token-level probability distributions for indications that a…
LLM Juries for Evaluation
Evaluating the correctness of generated responses is an inherently challenging task. LLM-as-a-Judge evaluators have gained popularity for their ability to…
G-Eval for LLM Evaluation
LLM-as-a-judge evaluators have gained widespread adoption due to their flexibility, scalability, and close alignment with human judgment. They excel at…
BERTScore For LLM Evaluation
Introduction BERTScore represents a pivotal shift in LLM evaluation, moving beyond traditional heuristic-based metrics like BLEU and ROUGE to a…
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…
