Popular
4.4
Intermediate
4h
Build AI Chatbots with Open-Source LLMs, LangChain, and Streamlit
This course will teach you to design, build, and optimize AI chatbots using transformers and RAG through hands-on projects and Streamlit UI.
This course provides a comprehensive guide to designing, building, and optimizing chatbots using modern AI technologies. It begins with an introduction to chatbots, foundational concepts in AI, and the mechanics of transformer models, equipping you with a solid understanding of how natural language processing underpins chatbot systems.
You’ll learn to implement large language models (LLMs) for tasks such as summarization, translation, and inference alongside data preparation techniques and retrieval-augmented generation (RAG) workflows using tools like LangChain. You’ll also cover advanced concepts like prompt engineering, retrieval chains, and developing user interfaces with Streamlit.
The course concludes with an integration and evaluation phase, where you’ll deploy your chatbot systems and assess performance. A hands-on capstone project solidifies these skills, making this course ideal for developing robust, user-friendly chatbots using cutting-edge AI methodologies.
This course provides a comprehensive guide to designing, building, and optimizing chatbots using modern AI technologies. It begi...Show More
WHAT YOU'LL LEARN
An understanding of foundational principles of chatbots, including AI basics, chatbot workflows, and interface development with Streamlit
Hands-on experience with open-source LLMs to perform various downstream tasks
Working knowledge of optimizing retrieval-augmented generation (RAG) workflows using LangChain
The ability to develop strategies for crafting effective prompts, including structured reasoning and contextual prompts
An understanding of foundational principles of chatbots, including AI basics, chatbot workflows, and interface development with Streamlit
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TAKEAWAY SKILLS
Content
1.
Introduction to Building Chatbots
3 Lessons
Master chatbot development using AI, LLMs, and interactive web interfaces.
2.
Understanding Transformers
5 Lessons
Explore transformer models, tokenization, embeddings, and positional encoding for effective chatbot development.
3.
Understanding Large Language Models (LLMs)
9 Lessons
Explore the capabilities of large language models in enhancing chatbot functionalities.
4.
Data Collection and Preparation
3 Lessons
Master effective data manipulation and management for advanced chatbot development.
5.
Optimizing RAG Workflows with LangChain
9 Lessons
Explore retrieval-augmented generation and LangChain for advanced chatbot development.
6.
Prompt Engineering and Retrieval Chains
6 Lessons
Master prompting and composition strategies to enhance AI chatbot performance.
7.
Chatbot User Interface Development with Streamlit
3 Lessons
Explore Streamlit's features for building interactive applications and optimizing performance.
8.
Chatbot Integration and Evaluation
3 Lessons
Integrate chatbots with Streamlit and evaluate LLMs using diverse metrics.
9.
Capstone Project
5 Lessons
Develop a sophisticated LLM-driven chatbot for Toyota vehicle inquiries using Streamlit.
10.
Conclusion and Future Developments
1 Lessons
Consolidate your understanding by revisiting what you’ve learned.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Show License and Attributions
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