In today’s fast-paced digital world, AI chatbots have become an indispensable tool for businesses looking to streamline customer interactions and enhance operational efficiency. With advancements in Artificial Intelligence (AI) and Machine Learning (ML), chatbots are evolving beyond simple Q&A systems to sophisticated virtual assistants capable of handling complex tasks.
Large Language Models (LLMs)
The need for conversational style ‘communication’ in natural language will increasingly become a key interaction channel between humans and machines.
Learn from Vignesh Subramanian, VP of Product Development at Infor, as he shares insights on “How to Build Smarter AI Chatbots.” We review the key components, best practices, and insights from his interview, below.
“As a developer building chatbots, the key is to create agents that can service complex requests. An ‘agent’ is essentially an application that creates cascading business logic leveraging a series of LLM prompts. Agents are responsible for decision-making throughout the session such as selecting the right data source, fetching the answer, interrogating further, and moderating the final response,” clarified Infor’s Subramanian.
Understanding the Role of AI in Chatbots
AI enables chatbots to analyze user inputs, comprehend natural language, and provide contextually relevant responses. By leveraging Machine Learning algorithms, chatbots can continuously improve their performance over time, offering more personalized and efficient interactions.
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