vision-language models (VLMs), large language models (LLMs), Algorithms, Deep Learning, Recommender Systems, Computer Vision, data structures, fine-tuning, transfer learning, loss functions, robotics learning, reinforcement learning, time-series forecasting, training dynamics, Speech Recognition, optimization methods, model architectures, distillation of foundation models, diffusion models, transformer-based models, edge AI

Tensorflow, Pytorch, Python, deep learning models, Transformer-based models, neural network architectures, CNNs

Machine Learning, Large-scale Sequence Modeling, Statistical Research, GPU-based Research, reinforcement learning