Large Language Models (LLMs) and their multi-modal variants offer significant benefits in automating complex processes, with Document Understanding (DU) being a particularly promising application. In DU, the challenge often lies in integrating text, layout, and graphical elements to accurately extract necessary information. In a new paper Arctic-TILT. Business Document Understanding at Sub-Billion Scale, a research| Synced
A foundation model is a type of artificial intelligence neural network trained on vast amounts of raw data, typically through unsupervised learning, and designed to be adaptable for a wide range of tasks. In a new paper Apple Intelligence Foundation Language Models, an Apple research team introduces the foundation language models developed to power Apple| Synced
Robot learning has seen remarkable advancements in recent years; however, achieving human-level performance in terms of accuracy, speed, and adaptability remains a significant challenge across various domains. One such domain is table tennis—a sport that demands years of rigorous training for human players to reach an advanced level of proficiency. In a new paper Achieving| Synced
Video captioning is essential for enhancing content accessibility and searchability by providing precise and searchable descriptions of video content. However, the task of generating accurate, descriptive, and detailed video captions remains challenging due to several factors: the limited availability of high-quality labeled data and the additional complexity involved in video captioning, such as temporal correlations| Synced
In natural language processing (NLP) applications, long prompts pose significant challenges, including slower inference speed, higher computational costs, and a diminished user experience. Furthermore, the limitations imposed by context length restrict model performance and application scope, creating a strong need to reduce prompt length. In a new paper 500xCompressor: Generalized Prompt Compression for Large Language| Synced
Foundation models, also known as general-purpose AI systems, are a rising trend in AI research. These models excel in diverse tasks such as text synthesis, image manipulation, and audio generation. Notable examples include OpenAI’s GPT-3 and GPT-4, which power the conversational agent ChatGPT. In a new paper The Llama 3 Herd of Models, a Meta| Synced
