Overview
This course offers a deeper understanding of Large Language Models (LLMs) and their significance in industry transformation. Engage with renowned models like GPT3.5/GPT4.0/LlaMa2, and discover their core applications.
Learn to tailor these LLMs to business needs and industry context. Additionally, grasp the nuances of orchestrating multiple LLMs using LangChain and integrating Embedding Databases to incorporate business-specific data.
This course targets professionals, business analysts, and forwardthinking executives keen on applying LLMs-specific business contexts, and seamlessly integrating Embedding Databases for enhanced datadriven decision-making. Ideal for those looking to stay at the forefront of AI-driven business solutions.
Course Description & Learning Outcomes
At the end of the course, participants will be able to:
Understand Large Language Models (“LLMs”) and popular models like ChatGPT/GPT3.5, LlaMa2 in terms of their architecture, key functionalities, and design considerations
Customise and fine-tune ChatGPT/GPT4.0 and other LLMs for different business objectives and industrial context
Gain insights into the functionality of an Embedding Database and integrate it into an LLM setup to provide access to business-specific data
Understand architecture patterns for deploying LLMs-based services.
Schedule
End Date: 28 Feb 2025, Friday
Location: 11 Research Link, COM 3, 119391
Pricing
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Machine Learning (Proficiency level: Beginner)
