Finetuning a Large Language Model with high-performance computing systems like Compute Canada's Graham cluster Tutor -- 2
Budget: $25 – $50 CAD
I'm seeking a tutor who can guide me through finetuning a Large Language Model (LLM) and a General Language Model (GLM) on a high-performance computing system like Compute Canada's Graham cluster.
Key Topics:
- Model Architecture: I need to understand how to optimize and adapt the architecture of these models for specific tasks. This includes understanding the best practices for modifying the architecture and the implications of these changes on performance.
- Hyperparameter Tuning: Assistance in identifying the most effective hyperparameters for the given task and how to adjust them on a high-performance computing system.
Skills and Experience:
- Strong command of Python, TensorFlow and PyTorch, as you will be helping me leverage these tools to perform the finetuning.
- Proven experience in working with high-performance computing systems is a must. Experience with Compute Canada's Graham cluster is a plus.
- Deep understanding of large language models and their architecture, as well as hyperparameter optimization and tuning.
Key Topics:
- Model Architecture: I need to understand how to optimize and adapt the architecture of these models for specific tasks. This includes understanding the best practices for modifying the architecture and the implications of these changes on performance.
- Hyperparameter Tuning: Assistance in identifying the most effective hyperparameters for the given task and how to adjust them on a high-performance computing system.
Skills and Experience:
- Strong command of Python, TensorFlow and PyTorch, as you will be helping me leverage these tools to perform the finetuning.
- Proven experience in working with high-performance computing systems is a must. Experience with Compute Canada's Graham cluster is a plus.
- Deep understanding of large language models and their architecture, as well as hyperparameter optimization and tuning.