Every day the world is becoming increasingly powered by artificial intelligence. In fact, you’d struggle to find tech companies that have not announced AI integrations into their tech stack in one way or another. Cynics might say this is a passing phase, but the reason AI is so popular is that it’s a versatile set of capabilities that can help solve a lot of problems.
The most direct way AI can be utilized is in the form of a chatbot: a conversational interface that mimics human interaction, generating contextual responses based on what the user inputs. Sometimes these are text-based, such as the customer service bots you often see on websites or apps. And sometimes they’re voice-enabled, like Siri, Google Assistant, and Alexa. These specific examples only just scratch the surface of what chatbots can do. As the technology continues to evolve and improve, the importance of chatbots will grow across various industries.
In this article, we’re not just going to walk you through the steps of building your first chatbot. We’ll also go through the dos and don’ts for chatbot developers, which will help you create a chatbot the right way. The article will also cover:
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Understanding chatbots in the AI landscape
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The essential components of a chatbot
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Building your first chatbot: A step-by-step guide
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Using LLMs for your chatbot
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Testing and deploying your chatbot
By the end of this article, you’ll know how to create a chatbot that will stay up to date and provide the most value, while respecting the safety of your users.
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