UsefulLinks
Computer Science
Software Engineering
Chatbot Development
1. Introduction to Chatbots
2. Foundational Technologies
3. Core Components of Conversational AI
4. Chatbot Design Principles
5. Development Methodologies
6. Building NLU Systems
7. Dialogue Management Systems
8. Large Language Models in Chatbots
9. Development Tools and Platforms
10. Integration and Deployment
11. Testing and Quality Assurance
12. Monitoring and Analytics
13. Maintenance and Continuous Improvement
14. Advanced Topics
15. Ethics and Responsible AI
8.
Large Language Models in Chatbots
8.1.
Transformer Architecture
8.1.1.
Self-Attention Mechanism
8.1.2.
Multi-Head Attention
8.1.3.
Position Encoding
8.1.4.
Layer Normalization
8.2.
Pre-trained Models
8.2.1.
GPT Family
8.2.2.
BERT Family
8.2.3.
T5 and Variants
8.2.4.
Model Selection Criteria
8.3.
Prompt Engineering
8.3.1.
Prompt Design Principles
8.3.2.
Zero-Shot Prompting
8.3.3.
Few-Shot Prompting
8.3.4.
Chain-of-Thought Prompting
8.3.5.
Prompt Optimization
8.4.
Fine-Tuning Strategies
8.4.1.
Full Fine-Tuning
8.4.2.
Parameter-Efficient Fine-Tuning
8.4.3.
LoRA and Adapters
8.4.4.
Instruction Tuning
8.5.
Retrieval-Augmented Generation
8.5.1.
Knowledge Base Integration
8.5.2.
Retrieval Mechanisms
8.5.3.
Fusion Strategies
8.5.4.
Performance Optimization
8.6.
Safety and Alignment
8.6.1.
Content Filtering
8.6.2.
Bias Mitigation
8.6.3.
Harmful Content Detection
8.6.4.
Alignment Techniques
Previous
7. Dialogue Management Systems
Go to top
Next
9. Development Tools and Platforms