Small Language Models (SLMs) for On-Device AI Training Course

This instructor-led, live training in South Korea (online or onsite) is designed for beginner to intermediate-level data scientists and developers who aim to implement and leverage Small Language Models across various applications.

By the conclusion of this training, participants will be equipped to:

• Comprehend the architecture and functionality of Small Language Models.
• Implement SLMs for tasks such as text generation and sentiment analysis.
• Optimize and fine-tune SLMs for specific use cases.
• Deploy SLMs in resource-constrained environments.
• Evaluate and interpret the performance of SLMs in real-world scenarios.

This instructor-led, live training in South Korea (online or onsite) targets intermediate-level educational technologists, instructional designers, and AI developers in the education sector who aim to integrate Small Language Models (SLMs) into educational platforms to enhance teaching and learning processes.

Upon completing this training, participants will be able to:

• Grasp the role of SLMs in educational technology.
• Design AI-driven learning experiences using SLMs.
• Implement SLMs in diverse educational settings.
• Evaluate the impact of SLMs on learning outcomes.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate-level urban planners, city administrators, and smart city solution developers who aim to incorporate Small Language Models (SLMs) into smart city projects to enhance urban living.

Upon completion of this training, participants will be able to:

• Comprehend the role of SLMs within smart cities.
• Integrate SLMs with urban datasets to improve decision-making processes.
• Formulate strategies for deploying SLMs in urban management systems.
• Evaluate the impact of SLMs on urban planning and smart city solutions.

This instructor-led live training in South Korea (online or onsite) is aimed at intermediate-level data scientists and machine learning engineers who wish to create and apply small language models tailored for specific domains such as legal, medical, and technical fields.

By the end of this training, participants will be able to:

• Understand the importance and application of domain-specific language models.
• Curate and preprocess specialized datasets for model training.
• Train and fine-tune language models for domain-specific applications.
• Evaluate and benchmark models using domain-relevant metrics.
• Deploy domain-specific language models in real-world scenarios.

This instructor-led, live training in South Korea (online or onsite) is aimed at advanced-level machine learning engineers and AI researchers who wish to develop energy-efficient AI solutions with small language models that are both powerful and environmentally friendly.

By the end of this training, participants will be able to:

• Understand the impact of AI on energy consumption and the environment.
• Apply model compression and optimization techniques to reduce the size and energy usage of AI models.
• Utilize energy-efficient hardware and software frameworks for AI deployment.
• Implement best practices for sustainable AI development.
• Advocate for and contribute to sustainable practices in the AI industry.

This instructor-led, live training in South Korea (online or onsite) is aimed at intermediate-level data scientists, machine learning and AI researchers who wish to create engaging and efficient AI-powered conversational experiences with small language models.

By the end of this training, participants will be able to:

• Understand the fundamentals of conversational AI and the role of SLMs.
• Design and implement user-centric AI interactions.
• Develop and train SLMs for interactive applications.
• Evaluate and improve the effectiveness of human-AI communication using appropriate metrics.
• Deploy scalable and ethical AI-driven conversational interfaces in real-world scenarios.