Digital agents and Large Language Models are revolutionizing the way we achieve goals by providing a wealth of information and functionalities in real-time. These artificial intelligences are capable of analyzing complex tasks, recognizing patterns, and offering precise solutions, speeding up and optimizing the decision-making process.
LLMs for Enterprise Content Retrieval
Large Language Models (LLM) play a crucial role in opening up companies' information worlds both internally and for their customers. Our whitepaper Finding Things Smarter: About the use of language models in enterprise content retrieval (in German) shows how modern technologies such as Retrieval Augmented Generation (RAG) can be used profitably in companies to generate relevant, context-aware answers. The topic was developed within the LLMs for Companies (in German) project together in collaboration with the IDA Lab.
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What are digital agents
Digital agents, such as intelligent assistants on smartphones or virtual chatbots, can understand inquiries in natural language and deliver relevant information quickly. They help save time and facilitate access to resources, whether it's searching for information on the internet, organizing appointments, or ordering products and services.
Large Language Models
Large Language Models like GPT (Generative Pre-trained Transformer) enable solving complex problems and generating creative ideas. By their ability to process vast amounts of text data and generate human-like texts, they support researchers, engineers, and creatives in developing new technologies, formulating business strategies, and creating content.
Goal completion
By leveraging digital agents and Large Language Models, businesses can operate more efficiently by automating processes, handling customer inquiries more quickly, and making informed decisions. They can also help save time and increase productivity in personal areas by taking over repetitive tasks and solving complex problems. Overall, they contribute to achieving goals faster by improving access to knowledge and resources and enhancing efficiency in various areas of life and work.