본 블로그는 알리바바 클라우드의 PAI 서비스와 Elasticsearch 서비스를 활용하여 RAG LLM 챗봇을 만들 수 있는 가이드입니다.
This article describes the basic features provided by a RAG-based LLM chatbot and the special features provided by Elasticsearch.
Alibaba Cloud introduced its open-source AI reasoning model, QwQ, which boasts advanced analytical capabilities, and the multimodal image editing tool ACE.
This article describes how to use TorchScript custom C++ operators to build the post-processing network of an object detection model and use PAI-Blade to optimize the model.
This article describes how to use PAI-Blade provided by Machine Learning Platform for AI (PAI) to optimize a RetinaNet model that is in the Detectron2 framework.
This article introduces the potential of machine learning and Alibaba Cloud's role as a powerful gateway in the world of cloud-based machine learning.
This article describes how to use PAI-Blade to optimize a detection model whose post-processing network is built by using TensorRT plug-ins.
This article describes how to associate a RAG-based LLM chatbot with an ApsaraDB RDS for PostgreSQL instance when you deploy the RAG-based LLM chatbot.
This article describes how to deploy and call MLLM inference services by using PAI-EAS.
This post is going to share how important choosing the right platform for Big Data Analytics, Data governance
This article introduces how to create and deploy a basic generative AI model (an autoencoder) on Alibaba Cloud.
This step-by-step tutorial introduces how to fine-tune a language model using Alibaba Cloud's Platform for AI (PAI)
세 파트로 구성된 이 시리즈의 파트 2에서는 PaaS를 소개하고 PAI를 사용하여 몇 분 안에 유용한 생성형 AI 서비스를 배포하는 방법을 살펴봅니다.
This tutorial describes how to build a RAG service using Compute Nest with LLM on Alibaba Cloud's PAI-EAS and AnalyticDB for PostgreSQL.
Bagian kedua dari seri tiga bagian ini memperkenalkan PaaS dan menjelajahi cara menyebarkan layanan AI generatif yang bermanfaat dalam beberapa menit menggunakan PAI.
Phần thứ hai trong loạt bài gồm ba phần này giới thiệu PaaS và khám phá cách triển khai các dịch vụ AI tạo sinh hữu ích chỉ trong vài phút bằng cách sử dụng PAI.
この 3 部構成のシリーズの第 2 部では、PaaS を紹介し、PAI を使用して役に立つ生成 AI サービスを数分でデプロイする方法を探ります。
The second part of this three-part series introduces PaaS and explores how to deploy useful generative AI services in minutes using PAI.
この記事では、Tongyi Qianwen-7B モデルと対話するための 2 つのアプローチについて説明します。1 つはグラフィカルユーザーインターフェース (GUI) を使用し、もう 1 つはコマンドラインインターフェース (CLI) を使用します。
บทความนี้สำรวจสองวิธีในการโต้ตอบกับโมเดล Tongyi Qianwen-7B วิธีหนึ่งใช้ส่วนต่อประสานกราฟิกกับผู้ใช้(GUI) และอีกวิธีหนึ่งผ่านส่วนต่อประสานรายคำสั่ง (CL...
