Combining generative models with intent classification
24
Is generative models good
25
Feedback mechanism
26
Examples
27
trickiest part of working with chatbots
28
stop words
29
negations
30
multiple intents
31
presentation slides
32
RAZ vs Dialogflow
Description:
Explore the world of conversational agents in this comprehensive workshop led by Merve Noyan, a Machine Learning Engineer and Google Developer Expert. Gain insights into building your own bot tailored to your specific use case. Delve into frameworks, state-of-the-art natural language understanding, dialogue management, and generative models. Learn about common pitfalls in chatbot development, from training data to production monitoring. Discover the intricacies of intent recognition, named entities, and conversational design. Examine data-driven dialog systems, data augmentation techniques, and methods for handling fallbacks and misclassified intents. Evaluate the pros and cons of generative models and their integration with intent classification. Tackle challenging aspects of chatbot development, including stop words, negations, and multiple intents. Gain valuable insights from real-world examples and compare popular frameworks like RASA and Dialogflow.