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Machine Learning

Q&A: How Alibaba's DAMO Academy Uses AI to Improve Solar and Wind Energy Forecasting in China

DAMO engineers and scientists are leveraging artificial intelligence and machine learning to improve renewable energy forecasting in China.

Deploying Pre-trained Models on Alibaba Cloud ECS Using Hugging Face Transformers and Gradio

This blog demonstrates how to deploy multiple pre-trained models on a single Alibaba cloud ECS instance using Hugging Face Transformers and Gradio

Explore the Power of Alibaba’s Elastic GPU Service for High-Performance Computing and AI

This article delves into the key features, benefits, and applications of Elastic GPU Service, highlighting its potential to enhance various industries.

Leveraging Alibaba Cloud Elasticsearch for Intelligent Data Detection and Prediction

This guide unveils how to seamlessly integrate anomaly detection and prediction into your data, enhancing your business's decision-making processes and operational efficiency.

An Introduction to Alibaba Cloud Platform for AI (PAI)

This article provides an in-depth introduction to Alibaba Cloud's Platform for AI (PAI), illustrating its role as a comprehensive solution for advancing machine learning and artificial intelligence.

Translating 100 Billion Words Every Day for E-Commerce with Alibaba Machine Translation

This article is an outline of Alibaba's machine translation capabilities, the machine translation challenges, strategies and how it impacts the e-commerce business scenario.

Fintechs: How to Capitalize on Your Data

Fintechs are now embracing a range of increasingly data-driven solutions to disrupt the market.

Elasticsearch Tutorial: How to Generate, Store and Search Embeddings

This tutorial aims to explore the process of generating, storing, and searching embeddings in the context of Elasticsearch, a prominent search engine that supports vector data.

Implementing Reinforcement Learning with Keras

In this tutorial, you will be learning how you can implement your own reinforcement learning tasks on Alibaba Cloud's Machine Learning Platform with Keras.

Unlocking the Power of Semantic Search with Elasticsearch on Alibaba Cloud

This article dives into the essence of semantic search, and how Alibaba Cloud Elasticsearch is revolutionizing this field with its enhanced features.

Enhance E-commerce with Alibaba's Advanced Machine Translation Service

The article introduces Alibaba Translate, a machine translation service leveraging advanced natural language processing and deep learning technologies.

What is Vector Search?

Enhance Your Search Capabilities with Vector Search: Understanding its Importance, Functionality, and Use Cases.

Unleashing the Creative Potential with GenAI-Diffusion Graphic Generation Solution from Alibaba Cloud

In this article, we will explore how you can create your own GenAI model without the need for costly investments or extensive time commitments.

GenAI-拡散グラフィック生成ソリューションによる創造的可能性の解放

本記事では、高額な投資や長時間のコミットメントを必要とせず、独自のGenAIモデルを作成する方法について探ります。

Enhance Enterprises Data Modeling and AI Development with Alibaba Cloud Platform for AI

This article introduces Alibaba Cloud PAI, a comprehensive machine learning and deep learning engineering platform designed to meet diverse enterprise and developer needs.

ML PAI : DataWorks and Designer

DataWorks is the best platform for building big data warehouses, and provides features include Data Integration, DataStudio, Data Map, Data Quality, and DataService Studio.

Cloud Fighters Meet up: Big Data on Alibaba Cloud

Nowadays, data can be valuable to many different businesses. Any business may utilize data for analyzing real facts and gain insights based on data they have collected or acquired.

Unlock the Power of AI: A Comprehensive Guide to Alibaba Cloud's Platform for AI

This article delves into the key features and functionalities of Alibaba Cloud's Platform for AI, exploring its capabilities from data preparation to model deployment.

PAI Visualized Modeling: Enroute from Development to Deployment

The model deployment section below has Elastic Algorithm Service (EAS) which houses the deployment models already available and acts as a platform to deploy the customized models created by the users.

TePDist (an HLO-Based Fully Automatic Distributed System) Has Opened Its Source Code to the Public!

This article introduces Tensor Program Distributed System (TePDist) and explains the significance of its source code becoming open-source.