APC 技術ブログ

株式会社エーピーコミュニケーションズの技術ブログです。

株式会社 エーピーコミュニケーションズの技術ブログです。

2024-06-15から1日間の記事一覧

An In Depth Look at the New Features of Apache Spark 3.5

Preface Hello everyone, this is Daniel. Today, we're focusing on the release of Apache Spark 3.5. Although this session concentrates specifically on version 3.5, it's worth noting that this release is remarkably stable, setting the stage f…

Accelerating LLM Inference with vLLM

Preface Today's session was hosted by Johan from UC Berkeley and Kade from AnyScale, who both played pivotal roles in the development of vLLM. A short survey was conducted to identify participants who have contributed to, deployed, or are …

Databricks’ Journey: Driving Business Transformation with Data & GenAI

Preface This session revolves around Databricks' efforts to drive business transformation. We particularly delve into two key themes - initiating internal changes and elevating data literacy. By utilizing their unique Data Intelligence Pla…

Databricks Vector Search: What, Why and How

Preface As recently highlighted by Sonali, a recent Computer Science graduate from New York University, traditional keyword-based search methods often fall short in fully capturing the intent and relevance of a user’s queries, frequently y…

The C-Level Guide to Data Strategy Success with 3Ps - People Process and Platform - in a GenAI World

Preface In this section, we focused on the decisive roles of machine learning and data curation in Generative AI. A hands-on introduction to machine learning using Databricks' Mosaic AI was shared by the speaker, Craig. Passionate about AI…

Efficient MLOps: Developing and Deploying ML Models with Databricks

Preface Welcome to the world of MLOps. In this session, we kick off the discussion with insights and challenges faced while implementing an effective MLOps framework, joined by product owners Lavinia Guadaniolo and Alessandro from Plenitud…

Leveraging GenAI to Accelerate Innovation(GenAIを活用してイノベーションを加速する)

イントロダクションと戦略的概覽 初期の課題と解決策 セッションの概要 セクションのテーマ:GenAIの実装と反復的な開発 音声データの分析 非構造化データの構造化 データ集約 結論 イントロダクションと戦略的概覽 皆さん、こんにちは。本日はマンカインド…

An In Depth Look at the New Features of Apache Spark 3.5(Apache Spark 3.5の新機能についての詳細な調査)

Apache Sparkの導入と遺産 Spark Connectの向上 Spark Connectとは何か? Spark Connectの重要性は? 強化されたSpark Connectの利点 多相解析の重要性 実装の洞察 開発の利点 Apache Spark 3.5におけるストリーミングの改善と将来の展望 結論 Apache Spark…

BicepでEntra IDの「アプリの登録」を実現する

朗報 BicepがMicrosft Graphのサポート みなさんこんにちは。少し前の2024年5月20日、Bicep templateでMicrosoft Graphのpublic previewが公開されました。 techcommunity.microsoft.com 本当に長いこと(といってもBicepが世に出てまだ数年ですが)待ち望ん…

Building Your First GenAI App using Databricks, MosiacML and MLRun

Preface Welcome to the world filled with insights of building GenAI applications. Led by Aaron, the co-founder of Iguago which was acquired by McKinsey, and Bruce Philp, a tech fellow at McKinsey & Company, this session explores the concep…

Scaling Marketing and Docs with a Privacy-Safe RAG Model

Preface In the digital age, one of the principal challenges a business faces is managing an increasing amount of unstructured data. Analysing activities such as internal documents, meeting notes, recorded calls, and transcriptions can be e…

Mitigating LLM Hallucination Risk Through Research Backed Metrics

Preface In the realm of LLMs, mitigating the risk of hallucination and ensuring the accuracy of outputs is fundamental. This section details the inherent challenges during the human evaluation phase of model development and deployment. Und…

LLMs in Production: Fine-Tuning, Scaling, and Evaluation

Preface In the highly competitive market of today, businesses increasingly rely on Large Language Models (LLMs) to enhance various aspects of their operations. This session focuses on fine-tuning LLMs to meet specific business needs and ap…

KubernetesのNetworkPolicy解説:AI Copilotとの対話

この記事では、KubernetesのNetworkPolicyの基本と、具体的な設定例についてCopilotを使って解説します。また、AIを使った設定ファイルの解釈の有用性とその可能性についても触れています。