Sat 17 Jun 2023 16:00 - 16:45 at Magnolia 6 - ASA: Session 4

AI models’ continuous improvements offer exciting opportunities for developing hybrid SA-AI frameworks for addressing old and new SE/PL problems. Alas, constructing such hybrid systems requires changing components and retraining models from scratch, severely limiting reuse opportunities and incurring high costs and effort. In this talk, I will present case studies for building such frameworks, share lessons learned, and suggest high-level fundamental upgrades to SA and AI systems: Multi-option tokens for code and context containers for SA outputs.

Sat 17 Jun

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