Large-scale multimodal baseline models have achieved remarkable success in understanding complex visual patterns and natural language, which has generated interest ...
One of the main challenges in ai research is verifying the accuracy of language model (LM) outputs, especially in contexts ...
The rapid evolution of large language models (LLMs) and conversational assistants requires dynamic, scalable, and configurable conversational datasets for training ...
This article was accepted at ACL 2024 Large language models (LLMs) are fundamental to modern natural language processing, offering exceptional ...
Washington DC - Really Great Reading®, the leader in foundational reading instruction, and OxEd & Assessment (OxEd), an Oxford University ...
Aligning large language models (LLMs) to human expectations without human-annotated preference data is a major problem. In this paper, we ...
BOAST is a series of high-performance Retrieval Augmented Generation (RAG) models developed by Maximalists ai Researcher. BRAG models are a ...
LLMs have demonstrated impressive capabilities in handling complex question-answering tasks, supported by advances in model architectures and training methods. Techniques ...
Arcee ai has announced the launch of Distillation kit, an innovative open source tool designed to revolutionize the creation and ...
There is a race towards language models with wider context windows. But how good are they and how can we ...
