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Building and Implementing Large Language Models

  • Format: In-person or online

  • Duration: Two-Day Workshop

  • Includes: Comprehensive workshop notes and reference materials, access to statistical package and certification of completion


This workshop is tailored for individuals interested in the field of natural language processing (NLP) and machine learning, focusing on the development and implementation of large language models (LLMs). It will cover the fundamental concepts, architecture, training processes, and applications of LLMs like GPT (Generative Pre-trained Transformer). Attendees will gain insights into the challenges and solutions in building these advanced AI models.


Key Topics

  • Introduction to Natural Language Processing and Large Language Models

  • Overview of Model Architectures (Transformer Models, GPT, BERT, etc.)

  • Training and Fine-Tuning Large Language Models

  • Data Collection, Processing, and Ethical Considerations

  • Applications of Language Models in Various Domains

  • Challenges and Future Trends in Large Language Model Development


Learning Outcomes

  • Understand the basics of NLP and the structure of large language models.

  • Familiarise with the architecture and functioning of models like GPT and BERT.

  • Learn the processes involved in training and fine-tuning these models.

  • Grasp the importance of data quality and ethical considerations in model development.

  • Explore the diverse applications of LLMs across different sectors.

  • Recognise the challenges and future directions in the field of LLMs.


Who Should Attend?

This workshop is ideal for data scientists, AI researchers, software developers, academics and anyone interested in the field of artificial intelligence and natural language processing. Basic knowledge of machine learning and programming (Python recommended) is beneficial.


Why Attend?

  • Gain in-depth knowledge of one of the most cutting-edge areas in AI.

  • Enhance your skills in machine learning and natural language processing.

  • Explore the wide-ranging applications and potential of large language models.

  • Prepare for emerging opportunities and challenges in AI development.



The workshop will include a mix of lectures, case studies, and practical sessions. Participants will engage in hands-on activities to understand the intricacies of working with large language models.

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