PHAROS AI Factory announced the 12th Course of its Training Series, under the title “Compute-Efficient Methods for Large Language Models“, under thetopic LLMs, organised in collaboration with Pharos-CY, which was held online via Zoom on July 17th, 2026. 

Presentation language: English

Audience: Data Scientists, ML Engineers, AI Engineers, Academic Researchers

Learning Objectives:

By the end of the course, participants were be able to:

• Identify key efficiency methods for training, fine-tuning, and inference.
• Describe how LoRA enables parameter-efficient fine-tuning of LLMs.
• Apply a basic Hugging Face workflow for dataset preparation, training, evaluation, and inference.
• Compare trade-offs between model performance, cost, memory use, and deployment efficiency.

Presentation Material of the Course can be found here.

Watch the Course’s recordings in the dedicated playlist here.