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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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Discover step-by-step methods to master bookkeeping and accounting fundamentals in April 2026. Explore online courses, tools, practice tips, and future trends like AI integration for aspiring professionals.
Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Glasgow in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Mesa in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise du semantic chunking 2026, vos pipelines RAG perdent 45% de précision en retrieval, entraînant 30% d'hallucinations supplémentaires dans les réponses LLM.
Les entreprises non optimisées gaspillent en moyenne 500 heures par an en raffinage manuel de chunks, coûtant jusqu'à 150k€ en productivité perdue.
En 2026, 82% des projets IA échouent par mauvais chunking selon Gartner, freinant promotions et compétitivité.
Vos concurrents qui adoptent ces techniques livrent 3x plus vite, creusant un écart insurmontable pour votre carrière et votre entreprise.
The Formation Semantic Chunking 2026 - Optimiser RAG pour IA scalable 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 Formation Semantic Chunking 2026 - Optimiser RAG pour IA scalable 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 Formation Semantic Chunking 2026 - Optimiser RAG pour IA scalable 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.
Plongez dans les évolutions 2026 du semantic chunking avec analyse approfondie des embeddings contextuels, prise en main de modèles hybrides comme ColBERT et BGE-large, exercices pratiques sur datasets volumineux d'entreprise, création de chunks sémantiquement cohérents via similarité cosinus et clustering, production d'un premier pipeline RAG prototype testé en temps réel, retours immédiats du formateur pour affiner vos compétences professionnelles.
Construisez des stratégies de chunking adaptatif intégrant vision et texte avec outils comme CLIP et LayoutLM, développement hands-on de scripts Python pour chunking dynamique basé sur LLM queries, cas concrets d'entreprise sur documents PDF complexes et bases knowledge, optimisation de la granularité via scores sémantiques, intégration à des vector stores comme Pinecone et Weaviate, livrable d'un module réutilisable certifié pour vos projets IA scalables.
Passez à l'échelle avec tuning fin des modèles pour latence minimale, mise en place de benchmarks RAG personnalisés mesurant recall et faithfulness, exercices sur A/B testing en conditions réelles d'entreprise, déploiement automatisé via Docker et CI/CD, audit de sécurité et conformité RGPD pour chunks sensibles, finalisation du projet fil rouge avec rapport d'impact chiffré, préparation à la certification de vos compétences en semantic chunking professionnel.
Target audience
Data scientists, ingénieurs ML, architectes RAG et experts IA cherchant une montée en compétences professionnelle
Prerequisites
Maîtrise avancée de Python, embeddings (Sentence Transformers, OpenAI), transformers Hugging Face et pipelines RAG existants
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