Dive into Learning Explore the rich courses offerings of MammothClub.

Multimodal Data for NVIDIA Generative AI: Deployment and evaluations of model scalability, performance, and reliability, build LLM use cases such as retrieval-augmented generation (RAG), chatbots, and summarizers, and understand the capabilities of Python natural language packages (spaCy, NumPy, vector databases, etc.).

Performance Optimization: Enhance computational efficiency and improve the accuracy of outputs in AI models, optimize the performance of AI models, including tuning hyperparameters, and assist in model training and training optimization.

Software Development for NVIDIA-Certified Associate - Generative AI Multimodal: Build a U-Net to generate images from pure noise and as a type of autoencoder, generate images from English text prompts using CLIP, and use CLIP to train a text-to-image diffusion model.

Trustworthy AI: Ethical principles of trustworthy AI, balance between data privacy and the importance of data consent, use NVIDIA and other technologies to improve AI trustworthiness, and how to minimize bias in AI systems.

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