APTPUO Fall 2026- MIA5150-Topic (Generative AI and (LLMs)
Tasks
- Apply model fine tuning and parameter efficient training
- Deliver lectures labs and projects
- Deploy AI systems with inference optimization
- Design multimodal AI applications
- Develop generative model learning content
- Evaluate model performance and safety
- Implement retrieval-augmented generation
- Teach generative AI and large language models
Perks/Benefits
Skills/Tech-stack
Agent systems | Context learning | Contrastive Learning | Diffusion Models | Efficient Training | Fine Tuning | GANs | Hugging Face | Hugging Face Transformers | In-context Learning | Langchain | MLOps | Model Evaluation | Multi-Agent | Multi-Agent Systems | Parameter-efficient training | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Safety alignment | TensorFlow | Transformers | VAEs | Vector Databases
Education
Roles
Related jobs
-
APIs | DAX | Data Modeling | Data Warehouse | ETLMid-level Full TimeMarkham, Ontario, Canada14h ago
-
APTPUO-Winter 2027-DTI6302D (topic; Prompt Engineering) CAD 478K-478KAI Foundry | AI Safety | AI reliability | Agentic AI | Azure AICurriculum development | Professional training | Teaching experienceMid-level Part Time200 Lees Block E, Canada13d ago