投稿時間:2025-08-05 03:06:36 RSSフィード2025-08-05 03:00分まとめ(7件)
| カテゴリー | サイト名 | 記事タイトル | リンクURL | 頻出ワード・要約等 | 登録日 |
|---|---|---|---|---|---|
| AWS | AWS Big Data Blog | Develop and deploy a generative AI application using Amazon SageMaker Unified Studio | https://aws.amazon.com/blogs/big-data/develop-and-deploy-a-generative-ai-application-using-amazon-sagemaker-unified-studio/ | In this post we demonstrate how to use Amazon Bedrock Flows in SageMaker Unified Studio to build a sophisticated generative AI application for financial analysis and investment decision making | 2025-08-04 17:17:02 |
| AWS | AWS Big Data Blog | Near real-time streaming analytics on protobuf with Amazon Redshift | https://aws.amazon.com/blogs/big-data/near-real-time-streaming-analytics-on-protobuf-with-amazon-redshift/ | In this post we explore an end to end analytics workload for streaming protobuf data by showcasing how to handle these data streams with Amazon Redshift Streaming Ingestion deserializing and processing them using AWS Lambda functions so that the incoming streams are immediately available for querying and analytical processing on Amazon Redshift | 2025-08-04 17:06:42 |
| AWS | AWS Machine Learning Blog | AI judging AI: Scaling unstructured text analysis with Amazon Nova | https://aws.amazon.com/blogs/machine-learning/ai-judging-ai-scaling-unstructured-text-analysis-with-amazon-nova/ | In this post we highlight how you can deploy multiple generative AI models in Amazon Bedrock to instruct an LLM model to create thematic summaries of text responses We then show how to use multiple LLM models as a jury to review these LLM generated summaries and assign a rating to judge the content alignment between the summary title and summary description | 2025-08-04 17:51:08 |
| AWS | AWS Machine Learning Blog | Building an AI-driven course content generation system using Amazon Bedrock | https://aws.amazon.com/blogs/machine-learning/building-an-ai-driven-course-content-generation-system-using-amazon-bedrock/ | In this post we explore each component in detail along with the technical implementation of the two core modules course outline generation and course content generation | 2025-08-04 17:46:30 |
| AWS | AWS Machine Learning Blog | How Handmade.com modernizes product image and description handling with Amazon Bedrock and Amazon OpenSearch Service | https://aws.amazon.com/blogs/machine-learning/how-handmade-com-modernizes-product-image-and-description-handling-with-amazon-bedrock-and-amazon-opensearch-service/ | In this post we explore how Handmade com a leading hand crafts marketplace modernized their product description handling by implementing an AI driven pipeline using Amazon Bedrock and Amazon OpenSearch Service The solution combines Anthropic s Claude Sonnet LLM for generating descriptions Amazon Titan Text Embeddings V for vector embedding and semantic search capabilities to automate and enhance product descriptions across their catalog of over items | 2025-08-04 17:21:16 |
| AWS | AWS Machine Learning Blog | Cost tracking multi-tenant model inference on Amazon Bedrock | https://aws.amazon.com/blogs/machine-learning/cost-tracking-multi-tenant-model-inference-on-amazon-bedrock/ | In this post we demonstrate how to track and analyze multi tenant model inference costs on Amazon Bedrock using the Converse API s requestMetadata parameter The solution includes an ETL pipeline using AWS Glue and Amazon QuickSight dashboards to visualize usage patterns token consumption and cost allocation across different tenants and departments | 2025-08-04 17:10:45 |
| 海外TECH | Ars Technica | F1 in Hungary: Strategy and fast tire changes make all the difference | https://arstechnica.com/cars/2025/08/f1-in-hungary-strategy-and-fast-tire-changes-make-all-the-difference/ | F now takes a monthlong summer break but what s the state of the championship | 2025-08-04 17:42:19 |
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