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Conversational bots are rapidly evolving, promising to transform how we interact with technology and solve real-world problems. In the past, these bots relied on classification models, which offered precision but struggled with natural language variations and required extensive training. Recent advancements in Large Language Models have introduced flexibility and ease of use, though with higher costs and latency. This talk proposes a hybrid approach, combining the strengths of both models, with insights from Fortune 500 companies.
Key Takeaways:
Join us to learn how you can leverage this hybrid model to build powerful conversational bots that tackle real-world challenges and redefine human-computer interaction.
Principal Engineer at Oracle Cloud Infrastructure
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