Digitalization transforms many industries, especially manufacturing, with new concepts such
as Industry 4.0 and the Industrial Internet of Things. However, information technology also …

Abstract Background Large Language Models (LLMs) are increasingly significant in food
science, transforming areas such as recipe development, nutritional analysis, food safety …

Transformer-based language models have achieved impressive success in various natural
language processing tasks due to their ability to capture complex dependencies and …

Domain-specific language understanding requires integrating multiple pieces of relevant
contextual information. For example, we see both suicide and depression-related behavior …

Generative AI eg Large Language Models (LLMs) can be used to generate new recipes.
However, LLMs struggle with more complex aspects like recipe semantics and process …

Large Language Models (LLMs) encode meanings of words in the form of distributed
semantics. Distributed semantics capture common statistical patterns among language …

Natural language understanding (NLU) using neural network pipelines often requires
additional context that is not solely present in the input data. Through Prior research, it has …

Cooking, a quintessential creative pursuit, holds profound significance for individuals,
communities, and civilizations. Food and cooking transcend mere sensory pleasure to …

ChatGPT uses a so called Large Language Model (LLM) to provide textual output of
analyzed data. Those LLMs are one example for Generative Artificial Intelligence (AI), which …

Bodybuilding requires precise and careful food planning to promote muscle growth and
optimize body composition. However, creating personalized meal plans that meet the …