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Optimize and deploy AI models at scale using NVIDIA TensorRT and Triton Inference Server. Learn production-ready techniques for efficient inference across various platforms and infrastructures.
Explore multimodal generative AI's technology, business applications, and limitations. Gain insights into training, costs, and open-source systems like LLaVA for text, image, and audio processing.
Explore NLP, LLMs, and GPT architecture. Build LLM solutions with Hugging Face and master prompt engineering in this hands-on workshop.
Explore ChatGPT's architecture, implementation, and evolution. Compare with Bard and LLaMa. Learn to build tinyGPT. Gain insights into transformers, attention mechanisms, and the GPT family of models.
Explore key components and challenges of ML Observability for critical AI deployments, including explainability, monitoring, and risk mitigation. Learn from real-world case studies.
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