ELLMCNVNvidiaNV-ELLMC1.0<p>By the time you complete this course you will be able to: </p> <ul> <li>Apply parameter-efficient fine-tuning techniques with limited data to accomplish tasks specific to your use cases</li><li>Use LLMs to create synthetic data in the service of fine-tuning smaller LLMs to perform a desired task</li><li>Drive down model size requirements through a virtuous cycle of combining synthetic data generation and model customization.</li><li>Build a generative application composed of multiple customized models you generate data for and create throughout the workshop.</li></ul><ul> <li>Professional experience with the Python programming language.</li><li>Familiarity with fundamental deep learning topics like model architecture, training and inference.</li><li>Familiarity with a modern Python-based deep learning framework (PyTorch preferred).</li><li>Familiarity working with out-of-the-box pretrained LLMs.</li></ul>By the time you complete this course you will be able to: - Apply parameter-efficient fine-tuning techniques with limited data to accomplish tasks specific to your use cases - Use LLMs to create synthetic data in the service of fine-tuning smaller LLMs to perform a desired task - Drive down model size requirements through a virtuous cycle of combining synthetic data generation and model customization. - Build a generative application composed of multiple customized models you generate data for and create throughout the workshop.- Professional experience with the Python programming language. - Familiarity with fundamental deep learning topics like model architecture, training and inference. - Familiarity with a modern Python-based deep learning framework (PyTorch preferred). - Familiarity working with out-of-the-box pretrained LLMs.1 jour500.00500.00500.00500.00500.00420.00500.00690.00