In the ever-evolving landscape of technology, the year 2024 holds immense promise for AI. In this article, we have carefully curated a collection of the top 10 AI articles from Alibaba Cloud community in 2023. Take a retrospective look at the trending AI topics of 2023 and gain insights to inspire your exploration in 2024.
Alibaba Cloud unveiled its latest AI image generation model, Tongyi Wanxiang (‘Wanxiang’ means ‘tens of thousands of images’) at the World Artificial Intelligence Conference 2023 on July 7, 2023. In addition, Alibaba Cloud announced the launch of ModelScopeGPT, a versatile framework designed to assist users in accomplishing complex and specialized AI tasks across language, vision, and speech domains by leveraging various AI models on ModelScope.
In this tutorial, we will explore the deployment process of an AI knowledge base dialogue at an enterprise level using AnalyticDB for PostgreSQL and PAI-EAS. By leveraging AnalyticDB for PostgreSQL, we can retrieve enterprise-specific knowledge base information, while PAI-EAS facilitates AI language model inference. These two components seamlessly integrate to create a powerful solution.
Generative AI is an innovative form of Artificial Intelligence that utilizes existing data to generate new content. This can include various types of data such as text, images, or audio. By training on a substantial dataset, generative AI models are capable of producing novel content resembling the training data. In this blog, we will explore the practical application of Generative AI alongside key concepts in Data Engineering, such as Data Lake, ETL Pipeline, Data Lineage, Data Warehouse, and Data Visualization.
For optimal performance, we suggest employing ECS for both the backend and frontend components. In cases where open-source alternatives are preferred, GPU-ECS or Platform for AI can be utilized for the Large Language Model (LLM). This tutorial encompasses the complete infrastructure and retriever aspects, excluding the LLM portion, and sheds light on the advantages of combining LLM and VectorDB with Alibaba Cloud, supported by relevant examples.
Alibaba Cloud launched Tongyi Qianwen 2.0, its latest large language model (LLM), along with new industry-specific models at its annual flagship tech event Apsara Conference on October 31, 2023. This release signifies another significant progress in Alibaba Cloud's pursuit of cutting-edge AI innovation and its ongoing commitment to fuel digital transformation in businesses.
Generative AI has brought forth language expression capabilities comparable to human language, revitalizing the AI field. To build vertical field services, enterprises can choose between fine-tuning large models, which is costly and infrequently updated, or leveraging vector databases with large models for deeper, more timely services. By extracting knowledge base documents and real-time information as vector features stored in a vector database, combined with LLM, enterprises can create specific Chatbots. This article explores the principles and processes of building enterprise-specific Chatbots using LLM and vector databases, highlighting AnalyticDB for PostgreSQL's core capabilities in this scenario.
This article highlights the seamless integration of Llama 2 models on Alibaba Cloud's PAI-EAS platform, leveraging the powerful PAI Blade accelerator for up to six times faster inference speed and significant cost savings. Llama 2 on PAI-EAS provides additional capabilities like custom model mounting and parameter customization, empowering developers to tailor language-based applications to specific requirements. Let’s explore generative AI projects and experience the power of Llama 2 and PAI Blade for accelerated performance and cost-savings in transforming applications and businesses.
Large enterprises have joined the conversational search field. However, directly using LLMs for specific professional questions is challenging due to the lack of enterprise-specific data in their general world knowledge. To address this, enterprises can build conversational search services based on vector search integrated with LLMs. This solution combines vector search, LLMs, and enterprise data to provide accurate Q&A results and improve efficiency. OpenSearch Vector Search Edition, integrated with LLMs, allows users to search and obtain relevant results in real-time.
Alibaba Cloud unveiled its latest large language model, Tongyi Qianwen on April 11, 2023. The AI model integrates across Alibaba’s various businesses to improve user experience in the near future. The company’s customers and developers will have access to the model to create customised AI features in a cost-effective way.
Integrating Generative AI (GenAI) and vector database retrieval can enhance the efficiency and personalization of a delivery business. Meeting customer expectations in the digital age requires leveraging the latest technologies. This article discusses the benefits of integrating GenAI and vector database retrieval in delivery businesses and provides use cases for vector database retrieval.
In addition, to explore the future of AI and big data, we would like to invite you to join us at the first Alibaba Cloud AI & Big Data Summit in Singapore on January 30, 2024. This landmark event will bring together thought leaders, industry experts, and visionaries who share a common passion for AI and data science.
Don't miss out on this extraordinary opportunity to be part of the AI and big data revolution. Together, let's shape the future of AI and usher in a new era of innovation and growth.
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Alibaba Cloud Community - January 11, 2023
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