LH-151
Sessions in LH-151
Building Reliable Text-to-SQL Agents with LLMs
A practical look at building text-to-SQL chat agents that return trustworthy answers, covering the full path from query generation to turning tabular results back into clear natural language, plus how to evaluate them.
https://youtu.be/R2zliOA0ziQWhat AI Actually Changes About Being a Data Analyst
A grounded early-career perspective on how AI is changing data work — and why context, communication, judgment, and trust still matter.
https://youtu.be/q4kKf4aV9b4Closing the Gap: Getting New Grads from Classroom-Ready to Market-Ready
CS grads now face higher unemployment than many humanities majors even as demand for AI-skilled builders soars. An eight-pillar framework for crossing that gap.
https://youtu.be/HtWoTKT6UPsWhy Half of AI Projects Die After the Demo
According to Gartner's report, at least 50% of GenAI projects are abandoned after the proof of concept. The demo almost never fails — trust does. This talk shows how eval engineering turns 'it looks right' into 'we can prove it's right, and prove it stays right.'
https://youtu.be/LB0_iBnJ7S4