Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

Large Language Models (LLMs) are swiftly advancing in architecture and capability, and as
they integrate more deeply into complex systems, the urgency to scrutinize their security …

We report the development of GPT-4, a large-scale, multimodal model which can accept
image and text inputs and produce text outputs. While less capable than humans in many …

With the rapid progress of large language models (LLMs), many downstream NLP tasks can
be well solved given appropriate prompts. Though model developers and researchers work …

The misuse of large language models (LLMs) has garnered significant attention from the
general public and LLM vendors. In response, efforts have been made to align LLMs with …

Recent advances in instruction-following large language models (LLMs) have led to
dramatic improvements in a range of NLP tasks. Unfortunately, we find that the same …

Transformer-based large language models (LLMs) provide a powerful foundation for natural
language tasks in large-scale customer-facing applications. However, studies that explore …

Large language models (LLMs) have recently experienced tremendous popularity and are
widely used from casual conversations to AI-driven programming. However, despite their …

While large language models (LLMs) exhibit remarkable capabilities across a wide range of
tasks, they pose potential safety concerns, such as the``jailbreak''problem, wherein …

We introduce Llama Guard, an LLM-based input-output safeguard model geared towards
Human-AI conversation use cases. Our model incorporates a safety risk taxonomy, a …