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Introduction to Research Ethics: Working with People
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Rome: A Virtual Tour of the Ancient City
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Explore state-of-the-art multimodal models Phi3 Vision Instruct 128k and Florence Large from Microsoft, with practical demonstrations and code examples.
Explora los modelos multimodales de Microsoft: Phi3 Vision Instruct 128k y Florence Large. Descubre sus capacidades y aplicaciones en ciencia de datos e inteligencia artificial.
Explore Microsoft Phi3 Mini 128k model: compare inference time and precision across MLFlow, GGUF, and ONNX formats. Learn quantization techniques and performance optimization for various platforms.
Explora el modelo Phi3 Mini 128k en formatos MLFlow, GGUF y ONNX. Compara rendimiento y precisión en diferentes configuraciones. Aprende a implementar y optimizar modelos de lenguaje para diversas plataformas.
Explore Spacy NLP models in MLflow and learn to train a custom NER component using your own data for advanced natural language processing tasks.
Aprende a entrenar un modelo NER personalizado utilizando Spacy y MLflow para optimizar el flujo de trabajo de procesamiento de lenguaje natural.
Explore sequential and parallel Langchain chains for advanced machine learning workflows. Master techniques to enhance data processing and model performance.
Aprende a encadenar y ejecutar Chains de forma secuencial o paralela en Langchain para optimizar el procesamiento de lenguaje natural.
Learn to access data using Dbutils FS in Azure, AWS, and GCP for Databricks MLOps. Master essential techniques for efficient data handling in cloud environments.
Aprende a utilizar Databricks FS para acceder a archivos en Azure Blob, AWS S3 y Google Cloud Storage, mejorando tus habilidades en MLOps y ciencia de datos.
Develop a RAG-based QA tool using Langchain, Gemini Pro, and Chroma for legal document analysis and retrieval.
Crea una herramienta de preguntas y respuestas utilizando RAG, Gemini Pro, Langchain y Chroma para analizar documentos legales en PDF.
Optimize LLM inference on Intel CPUs and GPUs using Neural Speed. Explore efficient techniques for enhanced performance in machine learning and data science applications.
Optimiza la inferencia de LLMs en hardware Intel utilizando Neural Speed para mejorar el rendimiento en CPUs y GPUs.
Develop a Retrieval QA tool using Langchain, OpenAI, and Faiss. Learn to save components in Databricks' MLFLOW, work with Model Governance, and perform inference after chain retrieval.
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