This month, we sat down with Tobias Lunt, another amazing presenter from this year’s Data Council Lightning Talks. Tobias is using LLMs at Development Data Lab to analyze, expose, and combat gender inequality and understand the impact of societal norms. He has a unique perspective on how academia and the public sector view data science tooling in relation to the commercial landscape.
Tobias puts into perspective the “big” nature of data in his line of work and talks about the meteoric rise in LLM accuracy that we are seeing in the space but also cautions us about the false artifacts that can still be present in RAG systems and with manually defined data sets. We hope you enjoy finding out more about what Tobias and his team are up to.

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