Researchers have introduced the Davidsonian Scene Graph (DSG), an automatic question generation and answering framework to evaluate text-to-image (T2I) models. DSG generates contextually relevant questions in dependency graphs for better semantic coverage and consistent answers. Experimental results demonstrate the effectiveness of DSG on various model configurations. The study emphasizes the need for further research into…

IBM has launched the Watsonx Code Assistant, an AI-powered tool that aims to help developers code quickly and accurately. The Code Assistant offers two models, one for IT automation and another for mainframe application modernization. It runs on IBM’s Watsonx platform, known for its security and compliance features. IBM Consulting is available to assist clients…

Large Language Models (LLMs) like GPT-3 have revolutionized Natural Language Processing. They demonstrate exceptional language recognition and excel in various areas such as reasoning, visual comprehension, and code development. LLMs possess broad understanding and can handle inputs and outputs beyond language. Researchers have proposed LLaRP, an approach using pre-trained LLMs to act as generalizable policies…

CuPL, also known as Customized Prompts via Language models, is a topic that can be explored further in Towards Data Science.

QML is being utilized to combine machine learning and particle physics in a fun application.

This article discusses the process of fine tuning language models for Named Entity Recognition. It can be found on Towards Data Science.

TRL (Transformer Reinforcement Learning) is a full-stack library that allows researchers to train transformer language models and stable diffusion models with reinforcement learning. It includes tools such as SFT (Supervised Fine-tuning), RM (Reward Modeling), and PPO (Proximal Policy Optimization). TRL improves the efficiency, adaptability, and robustness of transformer language models for tasks like text generation,…