With the recent boom of LLMs, it has become possible to create simplistic but highly effective user interfaces for interacting with proprietary data via language. In this talk we will focus on various context retrieval techniques using classical and modified algorithms and how they can be embedded with LLMs.
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Narek holds a Ph.D. in Mathematics & Economics and comes from research focused academic background. He joined the industry as a senior investment banking analyst at AON, where he developed GPU accelerated Monte-Carlo simulations that were used in market hedging by various insurance firms. Narek joined Mawer in 2020 and has since worked on various projects ranging from software development to financial modeling to machine learning.
Wilson Chen is currently a Partner & Head of Data at Mawer Investment Management. He currently leads the strategic delivery of innovative technology solutions that leverage data to address complex enterprise challenges. As well, with the support of his team, he has built and successful implemented multiple platforms that are now used extensively in the business as part of its core strategy.