04-22, 11:25–12:10 (Europe/Berlin), A1
Discover how Babbel bridged the gap between tailored language learning and scalability through an AI-aided content creation tool. Our approach amalgamates human expertise with Generative Artificial Intelligence, enabling personalized content creation on a large scale. Join us on our development journey and the different iterations we went through. We will demo the tool's current version and its AI features. Learn about the tech stack and what lies ahead in our development pipeline.
Babbel learners value the high quality content that follows an educational methodology and covers everything a learner needs to become conversational in a foreign language. However, language learning cannot be approached with a one-fits all strategy. Learners have different motivation, interests, goals & learning needs that they want to see addressed throughout their learning path. Relying on human learning experts only for creating thousands of tailored learning items to personalize our contents is not a scalable solution. Luckily, recent developments in Generative Artificial Intelligence (GenAI) and its high-performing Large Language Models (LLMs) offer great opportunities to leverage artificial intelligence (AI) in the content creation process to enable large-scale personalization of contents.
Let us take you on our journey of developing an AI-aided content creation tool for language learning which combines best of both worlds, namely using AI to automate and scale various steps within the content generation process and putting human intelligence (HI) in the loop to make sure that our contents meet the expectations of our learners and fit the Babbel way of learning. We will give you an overview of our development process with the help of our cross-functional team and walk you through the different iterations - from initial workflow analysis to leveraging the power of connecting our tool to Babbel’s proprietary data. Additionally, we will demo the current version of the tool and give a quick tour of the different AI features that we already included. We will give an overview of the used tech stack and a quick outlook on what is next in the development pipeline.
Intermediate
Expected audience expertise: Python –Novice
Abstract as a tweet (X) or toot (Mastodon) –Dive into the fusion of human intelligence & AI at Babbel! Explore our journey in crafting an AI-aided content creation tool for personalized language learning. #LanguageLearning #AI #LLMs
Lea Petters holds a PhD in Behavioral Economics and works as a Data & AI expert at inovex. Her industry expertise spans retail, e-commerce, media, and education tech. She has experience realizing different use cases spanning sales forecasting, causal effect estimation, recommendation systems, and generative AI.
She is passionate about topics around causality, mathematical modeling, data & AI strategy, data storytelling, ethics, and large language models.
Hector Hernandez is a language educator, currently serving as a Computational Linguist at Babbel. With 12 years in Second Language Acquisition, he brings a wealth of experience in curriculum development, podcast hosting, scripting, and teaching English and Spanish as a second language. More recently, Hector has delved into developing applications with Large Language Models, applying this technology to enhance language learning experiences.