Online or onsite, instructor-led live Small Language Models (SLMs) training courses demonstrate through interactive hands-on practice how to use Small Language Models to efficiently process natural language on resource-constrained devices.
SLMs training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Lille onsite live Small Language Models (SLMs) trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Lille, Gare Flandres
NobleProg Lille, 21 Avenue le Corbusier, Lille, france, 59800
In front of Flandres TGV Train Station
From Lille train stations
From Lille-Flandres: the address is essentially right next to the station — about 1–3 minutes on foot.
From Lille-Europe: walk toward Lille-Flandres along Avenue Le Corbusier. It is roughly 5–10 minutes on foot.
So you don't need a bus or metro if you're arriving by train.
If you're coming by bus
The nearest bus stops to Avenue Le Corbusier include Lion d'Or and Jacquet. Several local lines serve the area, including 13, 86, L5 and L91.
This instructor-led, live training in Lille (online or on-site) is tailored for intermediate-level urban planners, city administrators, and smart city solution developers who intend to implement Small Language Models (SLMs) in smart city projects to enhance urban living.
Upon completion of this training, participants will be able to:
Understand the application of SLMs in smart cities.
Integrate SLMs with urban data sets for enhanced decision-making.
Develop strategies for deploying SLMs in urban management systems.
Assess the impact of SLMs on urban planning and smart city solutions.
This instructor-led, live training in Lille (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 improve teaching and learning processes.
By the end of this training, participants will be able to:
This instructor-led, live training in Lille (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 Lille (online or onsite) is designed for advanced machine learning engineers and AI researchers who aim to create powerful, environmentally friendly AI solutions using small language models.
Upon completion of this training, participants will be able to:
Comprehend the impact of AI on energy consumption and the environment.
Apply model compression and optimization techniques to minimize AI model size and energy usage.
Utilize energy-efficient hardware and software frameworks for AI deployment.
Implement best practices for sustainable AI development.
Advocate for and contribute to sustainable practices within the AI industry.
This instructor-led, live training in Lille (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 Lille (online or onsite) is designed for intermediate-level data scientists and machine learning engineers eager to build and deploy small language models customized for specialized sectors such as law, healthcare, and engineering.
Upon completion of this training, participants will be capable of:
Grasping the significance and practical use of domain-specific language models.
Selecting and preprocessing specialized datasets for model training.
Training and fine-tuning language models for targeted domain applications.
Evaluating and benchmarking models using metrics relevant to their specific fields.
Deploying domain-specific language models in real-world scenarios.
This instructor-led, live training in Lille (online or onsite) targets beginner to intermediate-level data scientists and developers who wish to implement and leverage Small Language Models across 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.
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