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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 — 10 already taken
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Don't let this gap widen
Sans maîtrise du LLM-as-judge, les équipes IA perdent 70% de temps sur évaluations manuelles chronophages, multipliant les coûts de 5 à 10 fois.
Une étude Hugging Face révèle que 65% des projets ML échouent faute d'évaluation fiable, générant des pertes moyennes de 300k€ par déploiement défaillant.
Les entreprises sans automatisation voient leurs modèles sous-performants de 40%, impactant directement les revenus et la compétitivité.
En 2024, 82% des recruteurs en IA écartent les profils ignorant les techniques LLM-as-judge.
Chaque trimestre sans compétences creuse l'écart : incidents de 25% plus fréquents, délais projets doublés.
Agissez pour sécuriser vos outputs IA et booster la productivité entreprise.
The Formation LLM-as-judge - Automatiser l'évaluation des outputs IA 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 LLM-as-judge - Automatiser l'évaluation des outputs IA 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 LLM-as-judge - Automatiser l'évaluation des outputs IA 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.
Concepts clés LLM-as-judge : rôle des LLMs comme juges. Architecture et cas d'usage professionnels. Installation OpenAI API et Hugging Face. Premiers tests d'évaluation simple. Exercices sur outputs basiques.
Règles pour prompts efficaces en LLM-as-judge. Techniques de chain-of-thought prompting. Évaluation de réponses textuelles. Tests comparatifs manuels vs automatisés. Pratique sur datasets publics.
Construction de pipelines Python avec LangChain. Intégration LLM-as-judge à workflows. Gestion des scores agrégés. Évaluation multi-juges. Debug de prompts défaillants.
Définition de métriques : similarité, cohérence, factualité. Analyse de corrélations avec juges humains. Détection de biais dans jugements LLM. Visualisation résultats avec Matplotlib. Cas d'erreurs courantes.
Fine-tuning prompts pour précision accrue. Scalabilité en entreprise. Déploiement via Docker. Projet fil rouge : évaluation complète d'un modèle. Bonnes pratiques production.
Target audience
Data scientists, ingénieurs IA, développeurs ML pour montée en compétences ou reconversion professionnelle
Prerequisites
Bases en Python, notions de LLMs comme GPT ou Llama, utilisation d'API OpenAI
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