The article discusses the revival of traditional chatbot development using the `chatterbot` library with Python, emphasizing how it enables developers to create custom datasets. The author recounts a simpler era of programming that predates the advent of LLMs, showcasing how developers can still create chatbots without integrating APIs. With step-by-step instructions, including environment setup and dataset selection, the tutorial illustrates the flexibility and control developers have in crafting chatbots with distinct personalities through custom training data.
The chatterbot library allows for complete control over chatbot data, enabling users to create custom datasets, unlike LLMs or APIs that obfuscate data access.
Setting up a basic chatbot requires installing the 'chatterbot' library and teaching it with your own datasets, reminiscent of more conventional programming approaches.
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