Unlocking LLM Potential - From Exploration to Integration

Overview

Explore LLMs' potential in a dynamic market. Compare models, learn prompt engineering, and discover key libraries.

Understand Retrieval Augmented Generation for chatbots and autonomous agents interacting with knowledge bases.

Syllabus

• Introduction to Large Language Models (LLMs)
Overview of LLMs and their evolution
Market dynamics and current trends
Key applications and potential
• Comparison of LLM Models
Overview of popular LLMs (GPT, BERT, etc.)
Performance metrics and benchmarks
Case studies of LLMs in various industries
• Prompt Engineering Techniques
Crafting effective prompts
Techniques for optimizing responses
Fine-tuning prompts for specific applications
• Key Libraries and Tools
Overview of popular libraries (Transformers, spacy, etc.)
Installation and setup
Hands-on exercises with key functions and features
• Building Chatbots with LLMs
Introduction to chatbot design
Integrating LLMs into chatbot frameworks
User interaction and experience design
• Retrieval Augmented Generation (RAG)
Fundamentals of RAG
Implementing RAG for dynamic knowledge retrieval
Use cases and best practices
• Developing Autonomous Agents
Understanding autonomous agents
Interaction with knowledge bases
Real-world application scenarios
• Integrating LLMs in Business Solutions
Identifying integration points
Designing workflows with LLMs
Evaluating impact and effectiveness
• Capstone Project
Design and implement a project utilizing LLMs
Application of learned techniques and tools
Presentation and peer feedback
• Future Trends and Ethical Considerations
Emerging trends in LLMs
Ethical considerations and best practices
Preparing for future developments in AI technologies

Subjects

Conference Talks