Python, Prompt Engineering, Data Science — Build the Skills Employers Want Now
Foundations of Data Visualization - Self Paced Online
Overview
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Explore the most pressing challenges facing AI engineering today in this 25-minute conference talk that recaps the past year's developments and identifies crucial open questions worth pursuing. Delve into key areas including local models, transparency issues, tool usage patterns, and the persistent problem of prompt injection attacks. Learn from an experienced perspective on where the AI engineering field stands and what problems desperately need solutions from the community. Gain insights into the current state of AI development and understand which technical challenges represent the biggest opportunities for breakthrough work in the coming year.
Syllabus
Open Questions for AI Engineering: Simon Willison
Taught by
AI Engineer