Konstantin Buschmeier

Large language models and agentic systems are rapidly changing how exploratory data analytics is performed. Natural language interactions and assisted querying unlock quick prototyping for business experts without data science or programming backgrounds enabling them to get answers to business...

Large language models are well known for their performance on generation tasks like summarization but they also excel at many classical tasks like classification, named-entity recognition, or information extraction. Multi-modal LLMs similarly achieve state of the art performance on document...

Retrieval Augmented Generation (RAG) has emerged as a groundbreaking technique in the field of generative AI. By providing a large language model relevant data to solve a given task, it can generate answers with much higher accuracy. Next to enhanced performance RAG allows us to work with...

In this talk, we will be looking at some Apache Beam design patterns and best practices that you can use to successfully build your own Machine Learning workflows. We will be looking at examples of applying Apache Beam to solve real-world problems, such as real-time semantic enrichment and...