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Tongyi Bailian - Model Studio với phiên bản Trung Quốc của Alibaba Cloud

Model Studio là kho lưu trữ nhiều mô hình lớn Tongyi khác nhau dành cho mục đích thương mại giữa khách hàng doanh nghiệp và đối tác.

Tongyi Bailian - Model Studio dengan Alibaba Cloud versi Mandarin

Model Studio adalah repositori berbagai model besar Tongyi yang tersedia untuk tujuan komersial di antara pelanggan dan mitra perusahaan.

Triển khai Mô hình ngôn ngữ lớn Alibaba Cloud (Tongy Qianwen) với giao diện đồ họa và dòng lệnh

Bài viết này chia sẻ hai phương pháp để tương tác với mô hình Tongyi Qianwen-7B, một phương pháp sử dụng Giao diện người dùng đồ họa (GUI) và phương pháp còn lại sử dụng Giao diện dòng lệnh (CLI).

Comprehensive Reviews of Alibaba Cloud Model Studio: Insights from Alibaba Cloud MVPs Worldwide

This article shares comprehensive reviews from Alibaba Cloud MVPs who tested and reviewed Alibaba Cloud Model Studio.

Menyebarkan Model Bahasa Besar Alibaba Cloud (Tongy Qianwen) dengan Antarmuka Grafis dan Baris Perintah

Artikel ini mengeksplorasi dua pendekatan untuk berinteraksi dengan model Tongyi Qianwen-7B, satu menggunakan Antarmuka Pengguna Grafis (GUI) dan lainnya melalui Antarmuka Baris Perintah (CLI).

그래픽 및 명령줄 인터페이스를 사용하여 Alibaba Cloud 거대 언어 모델(Tongy Qianwen) 배포하기

이 문서에서는 그래픽 사용자 인터페이스(GUI)와 명령줄 인터페이스(CLI)를 통해 Tongyi Qianwen-7B 모델과 상호 작용하는 두 가지 접근 방식을 살펴봅니다.

Alibaba Cloud Model Studio là gì ?

Alibaba Cloud Model Studio, một nền tảng điện toán đám mây cho phép bạn xây dựng, đào tạo và triển khai các mô hình học máy.

Introducing Alibaba Cloud Model Studio

This article provides an introduction to Alibaba Cloud Model Studio, along with its features and functionality.

Function Compute and AIGC Help Semir Generate Design Drafts Within 30 Seconds

This article introduces how Alibaba Cloud's Function Compute helps Semir overcome the challenges of integrating AI technologies into its business processes.

Alibaba Cloud’s Model Studio Tops 200,000 Registrations, Qwen Attracts Over 20M Model Downloads

Alibaba Cloud's Model Studio has over 200,000 registrations, the cloud computing business shared during WAIC 2024 in Shanghai.

グラフィカルおよびコマンドラインインターフェースを使用したTongy Qianwenのデプロイ

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。

การปรับใช้โมเดลภาษาขนาดใหญ่ของ Alibaba Cloud (Tongy Qianwen) ด้วยส่วนต่อประสานรายคำสั่งและกราฟิก

บทความนี้สำรวจสองวิธีในการโต้ตอบกับโมเดล Tongyi Qianwen-7B วิธีหนึ่งใช้ส่วนต่อประสานกราฟิกกับผู้ใช้(GUI) และอีกวิธีหนึ่งผ่านส่วนต่อประสานรายคำสั่ง (CL...

Experience the Power of AI with Alibaba Cloud Model Studio

Discover a platform offering one-stop LLM appication development. Streamline AI with Qwen models - your innovation starts here.

Alibaba Cloud Launches English-language Version of Open-Source AI Model Hub ModelScope

Alibaba Cloud has unveiled the English-language version of its open-source AI model community, ModelScope.

Deploy a RAG-Based LLM Chatbot in EAS

This article describes how to deploy a RAG-based LLM chatbot and how to perform model inference.

E2E Development and Usage of LLM Data Processing + Model Training + Model Inference

This article describes how to use the data processing, model training, and model inference components of Large Language Model (LLM) provided by PAI to complete end-to-end development and use of LLM.

Fine-Tuning a Llama3-8B Model in PAI DSW

This article describes how to fine-tune the parameters of a Llama 3 model in DSW to enable the model to better align with and adapt to specific scenarios.

Use QuickStart to Fine-Tune and Deploy Llama 2 Models

This article uses llama-2-7b-chat as an example to describe how to use QuickStart to deploy a model as a service in Elastic Algorithm Service (EAS) and call the service.

Quickly Deploy a Llama 3 Model in EAS

This article describes how to quickly deploy a Llama 3 model and use the deployed web application in Elastic Algorithm Service (EAS) of Platform for AI (PAI).

Quickly Deploy Open Source LLMs in EAS

This article describes how to deploy an LLM in EAS and call the model.