In this webinar we dive into the fascinating world of LLM-based products and projects. Hear first-hand from three expert AI practitioners as they share key insights they've gained, the hurdles they've overcome, and the game-changing advice they have for anyone venturing into the realm of LLMs.
Meet our speakers:
Ryan Daniels
Machine Learning Engineer at Accelerate Programme for Scientific Discovery at the University of Cambridge
Ryan is interested in driving forward scientific research which is grounded in excellent software engineering and machine learning fundamentals. Before working at Accelerate, Ryan's research interests explored unconventional approaches to computing using complex physical devices from the world of condensed matter physics at the University of Canterbury in New Zealand.
Tim Thompson
Senior Full Stack Engineer at Cambridge Spark
Tim plays a key role in the development of Cambridge Spark's EDUKATE.AI platform. As a member of the Tech Team, Tim is responsible for designing and implementing new features. Recently, he has been focused on the development of an LLM-based chatbot, which enables learners to interact with course content through a conversational interface.
Tim began his career as an apprentice at a large consultancy, contributing to digital tax submission projects for HMRC. He later moved into the ed-tech industry, where he worked on the development of large-scale corporate training and management software before joining Cambridge Spark.
Kevin Lemagnen
CTO at Cambridge Spark
Kevin leads the engineering, data, and product teams developing Cambridge Spark's courses as well as the EDUKATE.AI platform. His background includes developing data products for the energy sector and semiconductor industry at Qualcomm. Kevin has extensive experience delivering more than 100 data science and machine learning training courses to professionals across various industries, including finance, engineering, and research. His current work focuses on leveraging technology, including AI, to enhance the learning experience of Cambridge Spark's learners.
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