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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.
10 spots per session maximum — 7 already taken
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The Training MiniGPT for Professionals: Initiation and Rapid Implementation 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 MiniGPT for Professionals: Initiation and Rapid Implementation 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 MiniGPT for Professionals: Initiation and Rapid Implementation 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.
Presentation of the GPT model family and the concept of multimodal models; overview of MiniGPT uses. Explanation of the image-text technical pipeline: visual encoding, text generation, scoring. Introduction to MiniGPT's modular architecture.
Setting up a suitable Python environment (CUDA, torch, dependencies). Downloading the MiniGPT model. Local or Google Colab deployment cases. Testing MiniGPT on simple examples of image interpretation and image-text conversation.
Development of concrete use cases: visual information extraction, image description generation, contextual dialogue, automation of support tasks (document analysis, illustrated FAQs, internal tool prototyping). Introduction to customization (prompt engineering). Discussions on integration into professional workflows. Regulatory aspects, data security, ethics. Training synthesis and advanced resources.
Target audience
Developers, Data Scientists, trainers or project managers wishing to exploit the potential of MiniGPT for professional applications
Prerequisites
Basic Python knowledge recommended, fundamental machine learning concepts desired
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