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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training: Mastering MiniGPT - Creating AI Applications for Image and Text Processing 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.
To ensure the quality of the Training: Mastering MiniGPT - Creating AI Applications for Image and Text Processing training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training: Mastering MiniGPT - Creating AI Applications for Image and Text Processing training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Overview of multimodal models; What is MiniGPT? Architecture, differences with GPT, usage path, limitations and open source options. Concrete case studies. Demonstration: Text generation from images.
Setting up a suitable Python environment (Anaconda, Docker). Installing MiniGPT, managing dependencies, downloading pre-trained models. Using the APIs. Presentation of the source code and script structure.
Getting hands-on with datasets: annotation, conversions. Preprocessing images and text. Launching fine-tuning on a custom dataset. Evaluation and interpretation of outputs. Exercises: improving accuracy on a real business case.
REST API, integration into a web platform (FastAPI/Flask). Developing a simple application: automatic captioning, image classification with paragraph generation. Securing access. Performance management and scalability.
Deployment on cloud server, containerization. Model optimization (quantization, pruning). Best practices for ethics and GDPR in AI projects. Monitoring, logs, error handling. Round table: experience feedback, monitoring and resources for further study.
Target audience
Developers, AI engineers, data scientists, digital project managers
Prerequisites
Solid Python foundations and general machine learning knowledge
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