Research and Development:
In the next step, we did R&D of the state-of-the-art models for generative AI. We analyzed the various machine learning, deep learning and natural language processing algorithms, to identify the suitable approach. We also did experiments with different models and architectures to optimize the chatbot’s performance.
We build various custom AI-based pipeline to be used in the chatbot:
Data Engineering
AI & Machine Learning
By Use Cases
Business Intelligence & Tableau
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