In the evolving landscape of artificial intelligence, the challenge of enabling language models, specifically transformers, to effectively process and understand sequences of varying lengths has emerged as a critical area of research. The concept of length...

Aligning large language models (LLMs) with human expectations and values is crucial for maximizing societal advantages. Reinforcement learning from human feedback (RLHF) was the initial alignment approach presented. It involves training a reward model (RM) using...

Artificial intelligence (AI) is witnessing an era where language models, specifically large language models (LLMs), are not just computational entities but active participants in the digital ecosystem. These models, through their interactions with the external world,...

The capacity of infographics to strategically arrange and use visual signals to clarify complicated concepts has made them essential for efficient communication. Infographics include various visual elements such as charts, diagrams, illustrations, maps, tables, and...

Large Language Models (LLMs) such as GPT, PaLM, and LLaMa have made major advancements in the field of Artificial Intelligence (AI) and Natural Language Processing (NLP) by enabling machines to comprehend and produce content that is similar to that of humans. These...

Prompt engineering has burgeoned into a pivotal technique for augmenting the capabilities of large language models (LLMs) and vision-language models (VLMs), utilizing task-specific instructions or prompts to amplify model efficacy without altering core model...