How This Broadcom Dev Uses Spring to Power AI Workflows | Josh Long
The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
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Enhancing AI Conversations with Memory and Context
This chapter focuses on integrating conversational memory within AI models to improve user interactions through effective chat memory advisors. The discussion emphasizes the importance of retaining context, prompt engineering, and the use of technologies like Spring Data JDBC and vector stores for optimized data handling. It also addresses the challenges of AI generating appropriate responses while showcasing how a well-structured memory system can enhance overall user experience.
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