Small Language Models (SLMs) Training in US

This instructor-led, live training (online or onsite) is designed for intermediate-level urban planners, city administrators, and smart city solution developers who are interested in implementing Small Language Models (SLMs) in smart city initiatives to enhance urban living.

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

• Comprehend the application of SLMs in smart cities for government and community benefit.
• Integrate SLMs with urban data sets 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 for government initiatives.

This instructor-led, live training (online or onsite) is aimed at intermediate-level educational technologists, instructional designers, and AI developers for government who wish to integrate Small Language Models (SLMs) into educational platforms to enhance teaching and learning processes. By the end of this training, participants will be able to: - Understand the role of SLMs in educational technology. - Design AI-driven learning experiences using SLMs. - Implement SLMs in various educational settings. - Evaluate the effectiveness of SLMs in learning outcomes.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to deploy small language models directly onto devices with limited processing capabilities, opening up possibilities for innovative applications in various sectors, including those relevant to government operations.

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

• Understand the challenges and solutions for implementing AI on compact hardware.
• Optimize and compress AI models for efficient deployment on devices with limited resources.
• Utilize modern AI frameworks and tools for deploying models directly onto devices.
• Design and develop real-time AI applications for mobile and IoT devices, enhancing operational efficiency and data processing capabilities for government use.
• Evaluate and ensure the security and privacy of on-device AI systems, in alignment with regulatory standards and best practices for government.

This instructor-led, live training (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, aligning with initiatives for government and public sector workflows.

This instructor-led, live training (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 using small language models for government applications. By the end of this training, participants will be able to: - Understand the fundamentals of conversational AI and the role of small language models. - Design and implement user-centric AI interactions that align with public sector workflows. - Develop and train small language models for interactive applications in a governmental context. - Evaluate and improve the effectiveness of human-AI communication using appropriate metrics, ensuring alignment with governance standards. - Deploy scalable and ethical AI-driven conversational interfaces in real-world government scenarios.

This instructor-led, live training (online or onsite) is designed for intermediate-level data scientists and machine learning engineers who aim to develop and implement 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 significance and practical applications of domain-specific language models. - Collect and preprocess specialized datasets for model training. - Train and fine-tune language models for domain-specific use cases. - Evaluate and benchmark models using metrics relevant to their specific domains. - Deploy domain-specific language models in real-world scenarios, ensuring they meet the needs of various public sector workflows and governance requirements for government.

This instructor-led, live training (online or onsite) is designed for government data scientists and developers at beginner to intermediate levels who wish to implement and leverage Small Language Models in various applications. By the end of this training, participants will be able to: - Understand 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 relevant to government operations. - Deploy SLMs in resource-constrained environments, ensuring efficiency and effectiveness. - Evaluate and interpret the performance of SLMs in real-world scenarios, enhancing decision-making processes for government.