Long Form Question Answering in Haystack

This course teaches Long Form Question Answering (LFQA) using transformer models in the context of Natural Language Processing (NLP). The learning outcomes include understanding the components of a QA pipeline, setting up Haystack, indexing embeddings, and utilizing an LFQA generator. The course aims to equip learners with the skills to efficiently retrieve information from large document sets and improve information retrieval processes. The teaching method involves a practical approach with hands-on exercises and demonstrations. The intended audience for this course includes NLP enthusiasts, data scientists, AI researchers, and professionals looking to enhance their knowledge of QA techniques using transformer models.