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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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Allan BusiNov 1, 20268 min readSheffieldDon't let this gap widen
Sans maîtrise du LoRA fine-tuning, les équipes IA gaspillent jusqu'à 90% de ressources GPU sur des full fine-tunings inutiles, multipliant les coûts par 10 en moyenne selon Hugging Face benchmarks.
Les entreprises non adaptées perdent 60% de temps sur la personnalisation de LLMs, entraînant des délais projets critiques et 25% de churn clients dus à des modèles génériques sous-performants.
En 2026, 85% des offres d'emploi ML exigent LoRA pour scaler l'IA ; ignorer cette compétence creuse l'écart concurrentiel, expose à des sanctions RGPD sur données mal adaptées et freine la croissance business.
Agissez maintenant pour transformer ces risques en avantages compétitifs durables.
The Formation LoRA Fine-Tuning - Adapter LLMs efficacement 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 LoRA Fine-Tuning - Adapter LLMs efficacement 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 LoRA Fine-Tuning - Adapter LLMs efficacement 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.
Installation rapide de l'environnement PEFT et Hugging Face Transformers, configuration d'un modèle base comme Llama ou Mistral pour fine-tuning LoRA, préparation de datasets personnalisés avec tokenization avancée et data augmentation, lancement d'entraînements pratiques sur GPU cloud avec monitoring LoRA-specific, optimisation des hyperparamètres rank et alpha pour maximiser précision tout en minimisant empreinte mémoire, évaluation comparative avant/après avec métriques BLEU et perplexité, déploiement final d'un modèle LoRA customisé via API Dockerisée, exercices sur cas entreprise réels comme chatbots sectoriels ou génération de texte spécialisé, production de livrables prêts pour production avec code review individualisée.
10 participants max.
$1,155 / per person
7 heures
distancielTarget audience
Data scientists, ingénieurs ML et développeurs IA souhaitant une montée en compétences sur le fine-tuning efficient
Prerequisites
Maîtrise de Python, PyTorch et bases de transformers Hugging Face
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