投稿時間:2024-12-20 01:11:52 RSSフィード2024-12-20 01:00分まとめ(12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 Partner Network (APN) Blog	Say Hello to 215 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in November	https://aws.amazon.com/blogs/apn/say-hello-to-215-new-aws-competency-service-delivery-service-ready-and-msp-partners-added-in-november/	We are excited to highlight AWS Partners that received new or renewed specializations in November for our global AWS Competency AWS Managed Service Provider MSP AWS Service Delivery and AWS Service Ready programs These designations span workload solution and industry and help AWS customers identify top AWS Partners that can deliver on core business objectives AWS Partners are focused on your success helping customers take full advantage of the business benefits AWS has to offer	2024-12-19 15:45:14
AWS	AWS Big Data Blog	HEMA accelerates their data governance journey with Amazon DataZone	https://aws.amazon.com/blogs/big-data/hema-accelerates-their-data-governance-journey-with-amazon-datazone/	HEMA is a household Dutch retail brand name since providing daily convenience products using unique design This post describes how HEMA used Amazon DataZone to build their data mesh and enable streamlined data access across multiple business areas It explains HEMA s unique journey of deploying Amazon DataZone the key challenges they overcame and the transformative benefits they have realized since deployment in May From establishing an enterprise wide data inventory and improving data discoverability to enabling decentralized data sharing and governance Amazon DataZone has been a game changer for HEMA	2024-12-19 15:12:16
AWS	AWS Big Data Blog	Accelerate queries on Apache Iceberg tables through AWS Glue auto compaction	https://aws.amazon.com/blogs/big-data/accelerate-queries-on-apache-iceberg-tables-through-aws-glue-auto-compaction/	In this post we explore new features of the AWS Glue Data Catalog which now supports improved automatic compaction of Iceberg tables for streaming data making it straightforward for you to keep your transactional data lakes consistently performant Enabling automatic compaction on Iceberg tables reduces metadata overhead on your Iceberg tables and improves query performance	2024-12-19 15:05:38
AWS	AWS Big Data Blog	Implement a custom subscription workflow for unmanaged Amazon S3 assets published with Amazon DataZone	https://aws.amazon.com/blogs/big-data/implement-a-custom-subscription-workflow-for-unmanaged-amazon-s3-assets-published-with-amazon-datazone/	In this post we demonstrate how to implement a custom subscription workflow using Amazon DataZone Amazon EventBridge and AWS Lambda to automate the fulfillment process for unmanaged data assets such as unstructured data stored in Amazon S This solution enhances governance and simplifies access to unstructured data assets across the organization	2024-12-19 15:01:52
AWS	AWS Machine Learning Blog	Add a generative AI experience to your website or web application with Amazon Q embedded	https://aws.amazon.com/blogs/machine-learning/add-a-generative-ai-experience-to-your-website-or-web-application-with-amazon-q-embedded/	Amazon Q embedded is a feature that lets you embed a hosted Amazon Q Business assistant on your website or application to create more personalized experiences that boost end users productivity In this post we demonstrate how to use the Amazon Q embedded feature to add an Amazon Q Business assistant to your website or web application using basic HTML or React	2024-12-19 15:27:45
AWS	AWS Machine Learning Blog	An introduction to preparing your own dataset for LLM training	https://aws.amazon.com/blogs/machine-learning/an-introduction-to-preparing-your-own-dataset-for-llm-training/	In this blog post we provide an introduction to preparing your own dataset for LLM training Whether nbsp your goal is to fine tune a pre trained model for a specific task or nbsp to continue pre training for domain specific applications having a well curated dataset is crucial for achieving optimal performance	2024-12-19 15:23:46
AWS	AWS Machine Learning Blog	Design multi-agent orchestration with reasoning using Amazon Bedrock and open source frameworks	https://aws.amazon.com/blogs/machine-learning/design-multi-agent-orchestration-with-reasoning-using-amazon-bedrock-and-open-source-frameworks/	This post provides step by step instructions for creating a collaborative multi agent framework with reasoning capabilities to decouple business applications from FMs It demonstrates how to combine Amazon Bedrock Agents with open source multi agent frameworks enabling collaborations and reasoning among agents to dynamically execute various tasks The exercise will guide you through the process of building a reasoning orchestration system using Amazon Bedrock Amazon Bedrock Knowledge Bases Amazon Bedrock Agents and FMs We also explore the integration of Amazon Bedrock Agents with open source orchestration frameworks LangGraph and CrewAI for dispatching and reasoning	2024-12-19 15:17:07
Program	JavaScriptタグが付けられた新着投稿 - Qiita	ブラウザのデフォルトモーダルを制御してブランドコアを守る	https://qiita.com/kawasakitakuma/items/497d9fc2e572681f9b47	ブラウザ,webサービス,デフォルト	2024-12-20 00:29:34
Program	JavaScriptタグが付けられた新着投稿 - Qiita	最新の JavaScript / TypeScript フロントエンドフレームワーク 5 選	https://qiita.com/minagishl/items/568d6bd3c41c3d6af326	javascript,typescript,フレームワーク	2024-12-20 00:21:49
Program	AWSタグが付けられた新着投稿 - Qiita	Amazon Bedrock の Custom model import を使ってIBM Granite 3.0をインポートしてみたがうまく行かなかった件	https://qiita.com/shigekicks/items/926190bcbace6118330d	amazonbedrock,custommodelimport,ibmgranite	2024-12-20 00:38:41
海外TECH	AppleInsider - Frontpage News	Apple-Nvidia collaboration triples speed of AI model production	https://appleinsider.com/articles/24/12/19/apple-nvidia-collaboration-triples-speed-of-ai-model-production?utm_medium=rss	Apple s latest machine learning research could make creating models for Apple Intelligence faster by coming up with a technique to almost triple the rate of generating tokens when using Nvidia GPUs Training models for machine learning is a processor intensive taskOne of the problems in creating large language models LLMs for tools and apps that offer AI based functionality such as Apple Intelligence is inefficiencies in producing the LLMs in the first place Training models for machine learning is a resource intensive and slow process which is often countered by buying more hardware and taking on increased energy costs Earlier in Apple published and open sourced Recurrent Drafter known as ReDrafter a method of speculative decoding to improve performance in training It used an RNN Recurrent Neural Network draft model combining beam search with dynamic tree attention for predicting and verifying draft tokens from multiple paths Continue Reading on AppleInsider Discuss on our Forums	2024-12-19 15:59:57
海外TECH	AppleInsider - Frontpage News	Future MacBook notch may get replaced with removable cameras on a rotating screen	https://appleinsider.com/articles/24/07/30/future-macbook-notch-may-get-replaced-with-removable-cameras-on-a-rotating-screen?utm_medium=rss	The FaceTime camera on a MacBook Pro is famously not as good as one on an iPhone but new research shows Apple is continuing to work on it ーand may have decided that the answer involves mounting larger cameras on a rotating display The notch could be replaced by a protruding camera ーbut one which could also be repositionedMaybe you don t give the camera notch on the MacBook Pro a second thought But even if you loathe it and believe it s taking up screen real estate the one thing you can t say is that it is thick It s quite wide wide enough that you wonder why it doesn t include Face ID yet But it doesn t add to the thickness of the MacBook Pro lid and maybe it s this thickness that limits how good a camera system Apple can fit in there Continue Reading on AppleInsider Discuss on our Forums	2024-12-19 15:54:11