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The Training: Mastering DeepSeek: Harness the Power of Artificial Intelligence Models training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
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History and positioning of DeepSeek among large language models. Presentation of its architecture, open-source specificities, installation of a suitable environment (cloud or local), overview of the main APIs. First deployments with concrete examples and explanation of the official documentation.
Steps to adapt DeepSeek to specialized datasets. Fine-tuning procedures, management of textual datasets, selection of hyperparameters, and monitoring of learning quality. Case study on customizing a model to meet specific business needs.
Techniques for integrating DeepSeek into AI pipelines, creation of dedicated APIs, setting up monitoring, managing scalability and server costs. Analysis of robustness, managing biases and limitations, best practices for security and GDPR. Advanced use cases: chatbots, information extraction, business assistants.
Target audience
Data science professionals, developers, and AI engineers wishing to integrate and optimize DeepSeek into their work processes
Prerequisites
Good proficiency in Python, familiarity with machine learning concepts and natural language processing
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