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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.
Crea un chain Retrieval QA con Langchain, Faiss y OpenAI. Aprende a salvar componentes en MLFLOW Databricks y realizar inferencias usando la chain creada.
Aprende a utilizar dbutils en tu espacio de trabajo Databricks para mejorar tus proyectos de aprendizaje automático y ciencia de datos.
Aprende a utilizar la librerÃa DButils en Databricks para optimizar tus proyectos de Machine Learning y MLOps. Explora funcionalidades clave y mejora tu flujo de trabajo.
Build a code reviewer using GPT-4, encapsulate it in MLflow, and deploy for inference in Databricks pipelines. Enhance your ML workflow with LLMOps techniques.
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