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Large Language Model

จุดประกายปฏิวัติ AI - การเดินทางร่วมกับ RAG และ LangChain

บทความนี้จะพาผู้อ่านไปสำรวจเจาะลึกเกี่ยวกับเส้นทางการปฏิวัติ AI โดยเจาะลึกแนวคิดการปฏิวัติของ Retrieval-Augmented Generation (RAG) และ LangChain

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Learning about AIACC-Training | Startup Commands and Environment Variables

This article describes the startup commands and the environment variables in AIACC-Training.

Learning about AIACC-Training | Use AIACC-Training for MXNet

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Learning about AIACC-Training | Use AIACC-Training for PyTorch

This article describes how to use AIACC-Training to accelerate distributed training by using models that are built based on PyTorch.

Learning about AIACC-Training | Install AIACC-Training

This article describes how to install AIACC-Training 1.5.0.

Accelerating Large Language Model Inference: High-performance TensorRT-LLM Inference Practices

This article introduces how TensorRT-LLM improves the efficiency of large language model inference by using quantization, in-flight batching, attention, and graph rewriting.

Chinese Automaker FAW Group Taps Alibaba Cloud’s Gen AI for Business Intelligence

Alibaba Cloud is partnering with FAW Group to transform the automaker‘s business intelligence capabilities with generative AI.

Solution 2: Build Your Llama2 LLM Solution with Compute Nest (ECS + AnalyticDB for PostgreSQL)

Explore the integration of AnalyticDB for PostgreSQL with large language models on Alibaba Cloud's Compute Nest, empowering businesses with efficiency.

Solution 1: Build Your Llama2 LLM Solution with PAI-EAS and AnalyticDB for PostgreSQL

Explore the integration of AnalyticDB for PostgreSQL with large language models on Alibaba Cloud's Compute Nest, empowering businesses with efficiency.

Solution 1B: How to Use ECS + PAI + AnalyticDB for PostgreSQL to Build a Llama2 Solution

Explore the integration of AnalyticDB for PostgreSQL with large language models on Alibaba Cloud's PAI, empowering businesses with efficiency.

Lightblue Releases Japanese-Language LLMs based on Qwen-14B for Commercial Use

Lightblue has released the most performant 14-billion parameter Japanese LLMs, suitable for on-premise commercial use.

Deploying Alibaba Cloud Large Language Model (Tongy Qianwen) with Graphical and Command Line Interfaces

In this blog, we will DeployAlibaba Cloud Large Language Model (Tongy Qianwen-7B) with Graphical and Command Line Interfaces

Alibaba's DAMO Academy Unveils LLMs Designed For Southeast Asia

DAMO Academy unveiled on Monday two large language models designed to reflect Southeast Asia's diverse linguistic and cultural landscape.

Deploy a Llama Model as a Web Application in EAS

This article describes how to deploy a Llama 2 model or a fine-tuned model as a ChatLLM-WebUI application, start the web UI, and perform model inference by using API operations.

Alibaba Cloud Makes More LLMs Available to Support Open-Source Community

Alibaba Cloud has made two large language models and a model that understands audio freely available to support the open-source ecosystem.

Mastering Generative AI - Run Llama2 Models on Alibaba Cloud's PAI with Ease

This article discusses the seamless integration of Llama 2 models on Alibaba Cloud's PAI-EAS platform, which offers significant speed boosts and cost savings for users through PAI Blade.

Langkah-langkah Penggunaan Llama2 sebagai Large Language Model (LLM) dan VectorDB AnalyticDB di Alibaba Cloud

Pemanfaatan Generative AI untuk bisnis dengan solusi cloud yang lebih efisien dan cost effective

LLM Chatbot Powered by LLM (LLAMA2) + LangChain + AnalyticDB for PostgreSQL

This short article introduces LLM Chatbot and its supported features.

Step-by-Step Membangun Large Language Model (LLM) dan VectorDB Alibaba Cloud yang Dapat Disesuaikan dan Hemat Biaya

Pemanfaatan Generative AI untuk bisnis dengan solusi cloud yang lebih efisien dan cost effective