APTPUO Fall 2026- MIA5150-REPOST (ONLINE) Topic (Generative AI and (LLMs)
Tasks
- Apply fine tuning and parameter efficient training
- Deliver graduate level lectures labs and projects
- Design prompt engineering and inference optimization
- Develop and apply generative AI models
- Evaluate model performance and safety
- Implement retrieval-augmented generation
- Support multimodal AI applications
- Teach generative AI and large language models
Perks/Benefits
Skills/Tech-stack
AI Safety | Agent systems | Context learning | Contrastive Learning | Diffusion Models | Efficient Training | Fine Tuning | GANs | Generative AI | Hugging Face | Hugging Face Transformers | In Context | In-context Learning | Inference Optimization | Langchain | Language Models | Large Language Models | MLOps | Model Alignment | Model Evaluation | Multi-Agent | Multi-Agent Systems | Parameter-efficient training | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Transformers | Variational Autoencoders | Vector Databases
Education
Roles
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