Explore generative AI's impact on chatbots. Delve into Python, Gradio, Rasa, and LLMs like Ollama and Meta’s Llama. Discover speech recognition and multimodal chatbot creation.

chatbots_test.tar.gz

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Gradio Demo

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Rasa

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Since the dawn of generative AI, the world of chatbots has transformed. LLMs (large language models) now overshadow what was once considered cutting-edge. This course guides you through the exciting evolution of chatbot development, from foundational techniques to the latest advancements.

You’ll answer fundamental questions like “What is a chatbot?”, “How does a chatbot work?” and most importantly, “How to create a chatbot.” You’ll begin by building a simple Python chatbot and enhancing it with Gradio 5 for an intuitive user interface. Then, you’ll explore Rasa Open Source, a machine learning framework, to illustrate how chatbots were made before generative AI.

Next, you’ll build a chatbot using a small language model (SLM) powered by Ollama and then level up to the impressive capabilities of Meta’s Llama, a powerful LLM. Finally, you’ll add seamless image processing with Gemini, accurate speech recognition using Whisper v3, and create a truly multimodal chatbot user experience.

Guide to Building Python and LLM-Based Multimodal Chatbots

Explore the anatomy of a machine learning-based chatbot built using Rasa.

Basic Anatomy of a Chatbot

Getting Started

Introduction to Chatbots

Building a Generative AI-Powered Chatbot

Adding Advanced Capabilities to the Chatbot

Conclusion

Basic Anatomy of a Chatbot

Setting up Rasa