Expert-level proficiency in Python, especially for AI/ML development: TensorFlow and PyTorch experience.
Understanding of supervised, unsupervised, and reinforcement learning, along with model evaluation techniques.
Experience in applying transfer learning techniques to adapt pre-trained models to new datasets.
Ability to fine-tune models by adjusting hyperparameters and network layers to optimize performance on specific tasks relevant to Bittensor.
Experience working with language models like GPT, BERT, or their variants
Deep understanding of model evaluation metrics (e.g., accuracy, precision, recall, F1-score) and how to apply them.
Experience in benchmarking model performance against industry standards or specific competitive baselines, important for gauging competitiveness on Bittensor.
