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Artificial Intelligence
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Communication Skills
Introduction to Complexity
Inspiring Leadership through Emotional Intelligence
Transforming Digital Learning: Learning Design Meets Service Design
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Explora cómo AWS Glue integró Ray para escalar cargas de trabajo Python, permitiendo análisis de datos distribuidos y ETL eficiente en grandes conjuntos de datos con APIs de Ray y Pandas distribuido.
Aprenda a criar assistentes de IA integrados em aplicativos, incluindo práticas recomendadas, conexão com dados privados, orquestração, autenticação e padrões de UX para copilots de IA.
Optimización de programación de producción en fábricas de semiconductores mediante aprendizaje por refuerzo profundo, mejorando la eficiencia y flexibilidad ante cambios de prioridades.
Aprenda a construir um mecanismo de consulta LLM em 10 minutos usando LlamaIndex e Ray, com foco em desafios-chave, escalabilidade e um tutorial de código prático.
Explore Ray Aviary, an open-source project for efficient self-hosted serving of multiple LLM models. Learn about its features, benefits, and how to get started with this innovative tool for machine learning.
Keynote address exploring cutting-edge developments in distributed computing and AI technologies, presented by industry expert Kim Hazelwood at Ray Summit 2022.
Aprenda a escalar e produzir inferências de LLMs de forma eficiente usando AWS Inferentia, vLLM e Ray no Amazon EKS. Descubra as capacidades da Anyscale para otimizar workloads de IA generativa.
Aprenda a escalar y productivizar cargas de trabajo de IA generativa y LLM de manera rentable utilizando instancias de cómputo de AWS y las capacidades de Anyscale.
Explore distributed model training using PyTorch and Ray, enabling scalable AI workflows. Learn code migration, reference implementations, and optimizations for large-scale training and fine-tuning.
Explore building and scaling end-to-end LLM workflows, covering data processing, model fine-tuning, evaluations, and inference for production. Gain insights with runnable code examples.
Explore building chat assistants using Canopy and Anyscale Endpoints. Learn architecture, see live examples, and get started with RAG-based applications leveraging vector databases and open LLMs.
Explora Ray Train, una biblioteca avanzada para aprendizaje profundo distribuido. Descubre su arquitectura, programación de recursos y APIs para integraciones del ecosistema, incluyendo caracterÃsticas exclusivas para entrenamiento de LLMs.
Explore Ray's scheduling features for AI applications, including placement groups and label-based scheduling, to optimize performance and reduce costs in model serving and data preprocessing.
Explora la escalabilidad interna de Ray, cubriendo tareas, actores, objetos y nodos, con ejemplos concretos para desarrollar código escalable y aprovechar al máximo el potencial de Ray en entornos de aprendizaje automático.
Probabilistic forecasting at scale using Ray for financial time-series, considering multiple historical scenarios to improve predictions in non-stationary markets and inform trading decisions.
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