投稿時間:2024-11-27 08:10:59 RSSフィード2024-11-27 08:00分まとめ(8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 |
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IT | ITmedia 総合記事一覧 | [ITmedia エンタープライズ] 米連邦政府 米国の電気通信ネットワークに対する中国のスパイ活動を発見 | https://www.itmedia.co.jp/enterprise/articles/2411/27/news077.html | itmedia,cisa,エンタープライズ | 2024-11-27 07:30:00 |
IT | ITmedia 総合記事一覧 | [ITmedia News] Intel、CHIPS法の下、米政権から当初より減額の助成金78億6000万ドル獲得 | https://www.itmedia.co.jp/news/articles/2411/27/news125.html | itmedianewsintelchips,chips,intel | 2024-11-27 07:14:00 |
IT | ITmedia 総合記事一覧 | [ITmedia エグゼクティブ] ビジネスアナリストの人材育成 | https://mag.executive.itmedia.co.jp/executive/articles/2411/27/news012.html | itmedia,アナリスト,エグゼクティブビジネスアナリスト | 2024-11-27 07:01:00 |
AWS | AWS News Blog | Time-based snapshot copy for Amazon EBS | https://aws.amazon.com/blogs/aws/time-based-snapshot-copy-for-amazon-ebs/ | With time based copying critical EBS snapshots and AMIs can now meet crucial RPOs by specifying exact completion durations from minutes to hours for disaster recovery testing development and operations | 2024-11-26 22:31:36 |
AWS | AWS Machine Learning Blog | Reducing hallucinations in large language models with custom intervention using Amazon Bedrock Agents | https://aws.amazon.com/blogs/machine-learning/reducing-hallucinations-in-large-language-models-with-custom-intervention-using-amazon-bedrock-agents/ | This post demonstrates how to use Amazon Bedrock Agents Amazon Knowledge Bases and the RAGAS evaluation metrics to build a custom hallucination detector and remediate it by using human in the loop The agentic workflow can be extended to custom use cases through different hallucination remediation techniques and offers the flexibility to detect and mitigate hallucinations using custom actions | 2024-11-26 22:14:48 |
AWS | AWS Machine Learning Blog | Deploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM | https://aws.amazon.com/blogs/machine-learning/deploy-meta-llama-3-1-8b-on-aws-inferentia-using-amazon-eks-and-vllm/ | In this post we walk through the steps to deploy the Meta Llama B model on Inferentia instances using Amazon EKS This solution combines the exceptional performance and cost effectiveness of Inferentia chips with the robust and flexible landscape of Amazon EKS Inferentia chips deliver high throughput and low latency inference ideal for LLMs | 2024-11-26 22:12:34 |
AWS | AWS Machine Learning Blog | Serving LLMs using vLLM and Amazon EC2 instances with AWS AI chips | https://aws.amazon.com/blogs/machine-learning/serving-llms-using-vllm-and-amazon-ec2-instances-with-aws-ai-chips/ | The use of large language models LLMs and generative AI has exploded over the last year With the release of powerful publicly available foundation models tools for training fine tuning and hosting your own LLM have also become democratized Using vLLM on AWS Trainium and Inferentia makes it possible to host LLMs for high performance | 2024-11-26 22:07:52 |
海外TECH | AppleInsider - Frontpage News | Mac mini M4 Pro review: Mac Studio power, miniaturized | https://appleinsider.com/articles/24/11/26/mac-mini-m4-pro-review-mac-studio-power-miniaturized?utm_medium=rss | The M Pro Mac mini is possibly the best deal in computing in late boasting an impressive amount of power for pros that rivals the Mac Studio and Mac Pro in a tiny package The M Pro Mac miniWhen it comes to desktop Mac models the Mac mini is always considered the entry level and cheap option while the Mac Studio and Mac Pro are performance beasts With the introduction of the M Pro Mac mini Apple has flipped the script ーat least for now We ve already looked at the entry level M Mac mini The M Pro Mac mini is a reasonably priced upgrade for people who desire great performance all in a tiny package Continue Reading on AppleInsider Discuss on our Forums | 2024-11-26 22:13:29 |
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