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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 RLHF 2026 - Aligning Generative AI with Human Feedback 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 RLHF 2026 - Aligning Generative AI with Human Feedback 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 RLHF 2026 - Aligning Generative AI with Human Feedback 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.
Immersive discovery of key RLHF 2026 concepts with installation of a dedicated Python environment via Hugging Face Transformers, exploration of human preference data collection steps on real business prompts, practical construction of a simple reward model from open-source datasets like Anthropic HH, experimentation with PPO training on a small LLM to observe alignment in real-time, exercises on concrete cases of misaligned chatbots, production of a functional prototype with evaluation metrics and optimization plan for your professional AI projects.
Target audience
Data scientists, AI engineers, tech product managers in companies seeking to build RLHF skills
Prerequisites
Python basics, knowledge of machine learning and deep learning
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