As AI takes center stage in 2024, the world witnesses a paradigm shift in how technology interacts with and augments human capabilities. With AI's continuous advancement, companies and programmers are striving to leverage its capabilities to design innovative applications, services, and experiences. Alibaba Cloud has been at the forefront of AI innovation, providing a range of powerful tools and services to help developers and organizations unlock the full potential of AI.
In the lead-up to the Apsara Conference, we’re rolling out a series of blogs showcases highlighting AI innovations.
Whether you're a seasoned AI professional or just beginning to explore the possibilities of AI, these articles will provide valuable knowledge and expertise to help you harness the power of artificial intelligence with Alibaba Cloud.
In this exclusive article, we've handpicked a group of Alibaba Cloud MVPs to put the product through its paces and share their honest reviews. Now, let's dive into their firsthand experiences, expert insights, and unbiased opinions through a series of in-depth videos and blog posts.
This tutorial provides a step-by-step guide to setting up a Retrieval-Augmented Generation (RAG) service using Alibaba Cloud Model Studio, Compute Nest, and AnalyticDB for PostgreSQL. With Model Studio, you can leverage top-tier generative AI models like Qwen to develop, deploy, and manage AI applications effortlessly.
This blog walks through the demonstration of using Model Studio Interface to create an API connectivity from a PAI-DSW instance or any application which requires the model.
This blog is your entry point for grasping and implementing multimodal AI using Alibaba Cloud's Model Studio, Qwen-Audio, Qwen-VL, Qwen-Agent, and OpenSearch (LLM-Based Conversational Search Edition).
Tongyi Qianwen-7B (Qwen-7B) is a 7 billion parameter scale model of the Tongyi Qianwen large model series developed by Alibaba Cloud. This blog explores two approaches for interacting with Tongyi Qianwen-7B model, one using a Graphical User Interface (GUI) and the other through Command Line Interface (CLI).
The article introduces Qwen Chat Model, explains the concept of generative AI and large language models (LLMs), and why Qwen is a good choice for local deployment due to its control, speed, and privacy benefits.
This blog demonstrates how to deploy multiple pre-trained models on a single Alibaba cloud ECS instance. We will use pre-trained models available on the Hugging face and Gradio to interact with the models. This approach provides a low-code deployment for ML models that can be useful for prototyping and proof of concept.
This blog explores the advantages and disadvantages of using the Infrastructure as a Service (IaaS) approach, and how to get started with an ECS + GPU deployment.
Alibaba Cloud ECS has GPU based instances for heterogeneous computing which has the capability to effectively deploy generative AI based applications like Stable Diffusion. This blog walks through the step by step procedures to implement Stable Diffusion in a GPU based ECS instance.
Compute Nest is an all in one service platform which helps the user to create applications by deployment from one console for all the products needed. This blog walks you through the steps needed to deploy a web application for generating video from the text prompts.
This guide will walk you through the process of creating a Retrieval-Augmented Generation (RAG) service using Compute Nest with Large Language Models (LLM) on Alibaba Cloud's Platform for AI – Elastic Algorithm Service (PAI-EAS), AnalyticDB for PostgreSQL as the vector store, Gradio for the web UI, and Langchain for orchestration.
This article takes readers on an insightful exploration of the transformative AI Revolution journey, delving into the revolutionary concepts of Retrieval-Augmented Generation (RAG) and LangChain.
RAG (Retrieval-Augmented Generation) introduces a novel approach to complex question answering, text summarization, and generation tasks by tapping into vast repositories of existing knowledge and combining it with powerful generative models. This article delves into the challenges encountered by RAG, its general paradigm, engineering practices, as well as the strategies implemented for optimization.
This article introduces an introduction to agents, an agent-based O&M (Operations and Maintenance) diagnosis project framework, a HDFS (Hadoop Distributed File System) cluster agent diagnosis practice, and advanced approaches to the agent project framework.
In-Depth Exploration of the RAG Optimization Scheme and Practice
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Tongyi Qianwen (Qwen)
Top-performance foundation models from Alibaba Cloud
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Alibaba Cloud for Generative AI
Accelerate innovation with generative AI to create new business success
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AI Acceleration Solution
Accelerate AI-driven business and AI model training and inference with Alibaba Cloud GPU technology
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Compute Nest
Cloud Engine for Enterprise Applications
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