Part 9/10:
The discussion highlights that building an effective conversational AI involves not just selecting the right model but carefully designing the data flow, memory structures, and reinforcement learning strategies to produce responsive, accurate, and aligned outputs.
Final Thoughts
This session offers an insightful deep dive into the intricacies of deploying large language models for conversational AI. From architecture design to reinforcement learning, the conversation underscores the importance of structured memory management, data curation, and strategic fine-tuning. As the development progresses, these foundational principles will help create more sophisticated, context-aware, and human-like chatbot systems.