הנדסת תכנה באמצעות בינה מלאכותית

This course will cover cutting-edge techniques for building LLM-based and agentic solutions. Topics covered include: LLM concepts, inconsistency and ambiguity in LLM responses, prompt engineering, benchmarking and evals, AI agents, collaborative agents, function calling and MCP, long-term, short-term and structured memory, RAG, strategies for solving hard problems, generating ‘’good’’ code, using LLMs to solve real-world SE problems, verifying LLM responses, and multi-modal LLMs for SE