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Fractals and Scaling
Songwriting: Writing the Lyrics
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Explore estratégias sustentáveis para reduzir a pegada de carbono em workloads de IA generativa na AWS, com foco em práticas de computação e gerenciamento eficiente de dados.
Dive into no-code機械学習とジェネレーティブAIの世界。Amazon SageMaker Canvasを使用して、コーディング不要でデータ準備、モデルのトレーニング、デプロイ、そして生成AIの活用方法を習得。
Explore a criação de soluções RAG com Amazon OpenSearch Service, combinando recuperação de informações e geração de texto para respostas de IA mais precisas e relevantes.
Explore a extração automática de texto e dados de documentos digitalizados usando machine learning, indo além do OCR tradicional para processar formulários e tabelas com precisão.
Explore o processamento de linguagem natural com Amazon Comprehend, desde conceitos básicos até a criação de classificadores personalizados para extrair insights valiosos de textos em português.
Explore os três pilares da observabilidade na AWS - rastreamento, monitoramento e registro - dominando ferramentas essenciais para otimizar operações em nuvem e entregar resultados comerciais efetivos.
Discover konsep dasar analitik data dan big data di AWS, termasuk 5V, machine learning, dan berbagai layanan AWS untuk mengelola dan menganalisis data skala besar dalam bahasa Indonesia.
Delve into data lakes, modern data architectures, and data warehousing on AWS, exploring key services, use cases, and reference architectures for building robust analytics solutions.
Master Apache Airflow workflow management through hands-on experience with Amazon MWAA. Build, schedule, and monitor data pipelines while learning key concepts, architecture, and practical implementation on AWS.
Delve into customizing and evaluating Large Language Models using Amazon SageMaker JumpStart, from prompt engineering to RAG implementation and model fine-tuning with hands-on practice in Bahasa Indonesia.
Delve into building RAG workflows with Amazon OpenSearch Service to enhance AI response accuracy by combining information retrieval with text generation techniques and vector embeddings.
Delve into building and optimizing large language models using Amazon SageMaker, from data preparation and distributed training to deployment and fine-tuning foundation models for generative AI tasks.
Discover how to find, deploy, and evaluate foundation models in SageMaker JumpStart's ML hub, including hands-on practice with LLMs and generative AI using the AWS console.
Delve into machine learning and generative AI on AWS using SageMaker Canvas - build ML models, analyze data, and implement AI solutions without coding experience in Bahasa Indonesia.
Delve into teknik optimasi model fondasi menggunakan RAG dan penyempurnaan, termasuk penyimpanan penyematan, peran agen, dan evaluasi kinerja dengan AWS.
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