by | Mar 11, 2024 | Uncategorized
With the integration of Large Language Models (LLMs) with pre-trained visual encoders, Multimodal Large Language Models (MLLMs) have revolutionized the realm of artificial intelligence. Still, there are challenges, especially in accurately recognizing and...
by | Mar 11, 2024 | Uncategorized
Recent advancements in Large Language Models (LLMs) have led to models containing billions or even trillions of parameters, achieving remarkable performance across domains. However, their massive size poses challenges in practical deployment due to stringent hardware...
by | Mar 11, 2024 | Uncategorized
Despite the impressive capabilities of LLMs like GPT-4 and Llama-2, they require fine-tuning with tailored data for specific business needs, exposing them to safety threats such as the Fine-tuning based Jailbreak Attack (FJAttack). Incorporating even a few harmful...
by | Mar 11, 2024 | Uncategorized
Artificial intelligence has shifted towards making large language models (LLMs) more interactive and versatile. This new wave of innovation seeks to break down the barriers between humans and machines, crafting systems that not only understand complex instructions but...
by | Mar 11, 2024 | Uncategorized
Developing efficient and powerful large language models (LLMs) represents a frontier of innovation. These models have relied on the Transformer architecture, celebrated for its ability to understand and generate human-like text. However, as these models scale, they...
by | Mar 11, 2024 | Uncategorized
Despite the significant strides in large language models (LLMs) such as ChatGPT, Llama2, Vicuna, and Gemini, they grapple with safety issues. This paper introduces a novel safety-aware decoding technique, SafeDecoding, which aims to protect LLMs from jailbreak...
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