Training is at the heart of every AI project. I design models adapted to your data and objectives, combining scientific rigor and mastery of modern tools.
Selection according to the nature of the problem: CNN, RNN, LSTM, Transformer, diffusion models.
Standardization, augmentation, split train/test to guarantee data quality and representativeness.
Use of AdamW, learning rate management, gradient clipping to stabilize and accelerate learning.
Scalability with multi-GPU, TPU, DeepSpeed, FSDP for large or complex models.
Tracking of runs, hyperparameters and metrics via Weights & Biases, MLflow for optimum reproducibility.
Creation of intelligent architectures, APIs, conversational agents, recommendation systems
Integration of models such as GPT, LLaMA, Mistral, Claude, etc. into business workflows
Adaptation of pre-trained models to specific corpora, supervised or reinforcement training
Design and training of deep learning models (CNN, RNN, Transformers) & machine learning (Random Forest, Scikit-Learn) for complex cases
Combining documentary research and generation for precise, contextualized answers
Design and deployment of modular, secure local AI architectures capable of processing data directly on the device
Containerization, CI/CD, monitoring, scalability, model security in production
Consultant specializing in the development of solutions based on theartificial intelligencethe language models (LLM) and neural networks.
Copyright © Charly Hayoz. All right reserved.
Français 
English