# chinawithfrank/chatbotcourse

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6,018 stars · 1,649 forks · Python · MIT

## Links

- GitHub: https://github.com/chinawithfrank/ChatBotCourse
- Homepage: https://www.lcsays.com
- awesome-repositories: https://awesome-repositories.com/repository/chinawithfrank-chatbotcourse.md

## Description

This project is a development course and learning curriculum focused on building large language model chatbots. It provides a structured series of tutorials for creating conversational agents through the application of natural language processing and deep learning models.

The materials include a technical walkthrough for implementing neural networks and word embeddings to handle automated question-answering tasks. It also provides a guide for constructing large-scale conversation corpora from external text sources to train and evaluate dialogue systems.

The curriculum covers core text analysis techniques, including tokenization and parsing, to help users understand human language patterns.

## Tags

### Education & Learning Resources

- [Chatbot Development Tutorials](https://awesome-repositories.com/f/education-learning-resources/machine-learning-tutorials/chatbot-development-tutorials.md) — Offers a structured series of tutorials for building conversational agents using NLP and machine learning. ([source](https://cdn.jsdelivr.net/gh/chinawithfrank/chatbotcourse@master/README.md))
- [Conversational Agent Courses](https://awesome-repositories.com/f/education-learning-resources/educational-resources/courses-training-certifications/courses-structured-learning/courses/generative-ai-courses/autonomous-agent-development-courses/conversational-agent-courses.md) — Delivers a comprehensive course on building LLM-powered conversational agents.
- [Deep Learning Tutorials](https://awesome-repositories.com/f/education-learning-resources/deep-learning-tutorials.md) — Provides a technical walkthrough for implementing deep learning frameworks and techniques for QA.

### Artificial Intelligence & ML

- [Deep Learning Implementations](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/architectures/neural-network-components/deep-learning-implementations.md) — Provides technical walkthroughs for the manual implementation of neural network architectures and embeddings. ([source](https://cdn.jsdelivr.net/gh/chinawithfrank/chatbotcourse@master/README.md))
- [Conversational Dialogue Systems](https://awesome-repositories.com/f/artificial-intelligence-ml/natural-language-interfaces/conversational-dialogue-systems.md) — Covers the development of AI systems designed to maintain natural, human-like textual conversations.
- [Natural Language Processing](https://awesome-repositories.com/f/artificial-intelligence-ml/natural-language-processing.md) — Teaches core natural language processing techniques like tokenization and parsing to analyze human language. ([source](https://cdn.jsdelivr.net/gh/chinawithfrank/chatbotcourse@master/README.md))
- [Conversation Flow Design](https://awesome-repositories.com/f/artificial-intelligence-ml/conversation-state-management/conversation-flow-design.md) — Covers the structural design of interaction logic and paths for multi-turn AI conversations.
- [Conversational Dataset Sourcing](https://awesome-repositories.com/f/artificial-intelligence-ml/conversational-dataset-sourcing.md) — Includes instructions for acquiring and structuring dialogue data from external sources for training.
- [Training Datasets](https://awesome-repositories.com/f/artificial-intelligence-ml/large-scale-model-training/training-datasets.md) — Provides instructions for constructing large-scale conversation datasets to train and evaluate dialogue systems.
- [Text Tokenization](https://awesome-repositories.com/f/artificial-intelligence-ml/natural-language-processing/text-tokenization.md) — Includes tutorials on segmenting raw text into tokens and parsing for machine learning preparation.

### Part of an Awesome List

- [NLP Learning Resources](https://awesome-repositories.com/f/awesome-lists/learning/nlp-learning-resources.md) — Provides a structured learning curriculum for mastering natural language processing and text analysis.
- [Question Answering Models](https://awesome-repositories.com/f/awesome-lists/ai/question-answering-models.md) — Teaches how to implement neural network architectures for automated question-answering tasks.
- [Datasets and Corpora](https://awesome-repositories.com/f/awesome-lists/data/datasets-and-corpora.md) — Guides the creation of large conversation corpora from external text sources for training. ([source](https://cdn.jsdelivr.net/gh/chinawithfrank/chatbotcourse@master/README.md))
- [Conversational Corpora](https://awesome-repositories.com/f/awesome-lists/data/datasets-and-corpora/conversational-corpora.md) — Provides a guide for constructing large-scale conversation corpora from external text sources.

### Data & Databases

- [Semantic Word Embeddings](https://awesome-repositories.com/f/data-databases/vector-storage/text-vectorizers/semantic-word-embeddings.md) — Implements word embeddings that map words to high-dimensional vectors to capture linguistic relationships.