Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Large Language Models (LLMs)
- Overview of AI in customer support
- Fundamentals of LLMs
- Evolution of chatbots: from simple scripts to AI-driven support
Architecture of LLMs
- Understanding the building blocks of LLMs
- Neural networks and deep learning in LLMs
- Training LLMs: data, algorithms, and computational resources
Implementing LLMs in Chatbots
- Integration strategies for LLMs in existing systems
- Designing conversational flows and user interactions
- Ensuring contextual understanding and coherence
Enhancing Chatbot Responsiveness
- Techniques for real-time response generation
- Handling concurrent conversations
- Personalization and predictive support
User Experience and Interface Design
- Crafting user-friendly chatbot interfaces
- Visual and textual cues for better engagement
- Feedback loops and continuous improvement
Ethical Considerations and Compliance
- Privacy and data security with LLMs
- Ethical use of AI in customer support
- Adhering to industry standards and regulations
Testing and Deployment
- Quality assurance and testing methodologies
- Deployment strategies for scalability and reliability
- Monitoring and maintenance of chatbot systems
Case Studies and Real-world Applications
- Analyzing successful implementations of LLM chatbots
- Lessons learned and best practices
- Future trends and innovations in AI-driven customer support
Project and Assessment
- Designing and building an LLM-based chatbot
- Peer reviews and group discussions
- Final assessment and feedback
Summary and Next Steps
Requirements
- An understanding of basic programming concepts
- Experience with Python programming is recommended but not required
- Familiarity with basic machine learning concepts is beneficial
Audience
- Customer support professionals
- IT professionals
- Business analysts
14 Hours