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[Professional Training] Course Summary: AI Model Optimization
The specialized training course "AI Model Optimization" organized by the Training Department in collaboration with the AI Center was held at FTECH from March 28, 2024 to May 30, 2024. The course is not only for the staff of the AI Center in the two offices in Hanoi and Da Nang, but also attracts the participation of FTECHers from many other departments such as: Platform, Blockchain, Application...
With the goal of equipping FTECH personnel with the necessary knowledge and skills to enhance the performance of artificial intelligence models, and to meet the practical requirements for deploying AI applications, the course covers five main topics, including:
Session 1: Efficient Inference of Neural Networks: Pruning and Sparsity
Session 2: Efficient Inference of Neural Networks: Quantization
Session 3: Tensor Networks in Deep Learning
Session 4: Accelerating Diffusion Models
Session 5: Accelerating Large Language Models
With their existing knowledge and experience, Instructor Dương Quỳnh Quang (AI Engineer - AI Center) shared the latest optimization techniques to help AI models run more efficiently and consume fewer resources. This enables deployment across a wide range of infrastructure environments and devices. This not only provides economic benefits but also helps expand the scope of AI applications in FTECH’s services and products in general.
By participating in the course, FTECHers not only enhance their professional skills but also gain the opportunity to network, learn from each other, and strengthen collaboration among employees within the company.
It is hoped that, with the knowledge and skills acquired, FTECHers will be able to apply them to real-world AI projects, contributing to the sustainable development of the company in the field of artificial intelligence in Vietnam.