Small Language Models (SLMs) Training in Prague

This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level urban planners, municipal administrators, and smart city solution developers who aim to incorporate Small Language Models (SLMs) into their smart city initiatives to enhance the quality of urban life.

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

• Grasp the practical applications of SLMs within smart city ecosystems.
• Integrate SLMs with urban datasets to support more informed decision-making.
• Formulate strategies for deploying SLMs within urban management systems.
• Evaluate the impact of SLMs on urban planning and smart city solutions.

This instructor-led, live training in Prague (online or onsite) is designed for intermediate-level educational technologists, instructional designers, and AI developers in education who want to integrate Small Language Models (SLMs) into educational platforms to enhance teaching and learning processes.

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

• Grasp the role of SLMs in educational technology.
• Create AI-driven learning experiences using SLMs.
• Deploy SLMs across various educational environments.
• Assess the impact of SLMs on learning outcomes.

This instructor-led, live training in Prague (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.

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 on-device deployment.
• Utilize modern AI frameworks and tools for on-device model implementation.
• Design and develop real-time AI applications for mobile and IoT devices.
• Evaluate and ensure the security and privacy of on-device AI systems.

This instructor-led, live training in Prague (online or on-site) targets advanced-level machine learning engineers and AI researchers who aim to create energy-efficient AI solutions using 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 Prague (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.

This instructor-led, live training in Prague (online or onsite) targets intermediate-level data scientists and machine learning engineers looking to develop and implement small language models customized for specific sectors such as law, healthcare, and technical industries.

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

• Comprehend the significance and practical use 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 Prague (online or onsite) is designed for beginner to intermediate-level data scientists and developers who want 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.
• Deploy SLMs in resource-constrained environments.
• Evaluate and interpret the performance of SLMs in real-world scenarios.