Platform for AI (PAI) of Alibaba Cloud is a machine studying or deep studying engineering platform supposed for enterprises and builders. It offers easy-to-use, cost-effective, high-performance, and easy-to-scale plug-ins that may be utilized to varied {industry} situations. With over 140 built-in optimization algorithms, Platform for AI offers whole-process AI engineering capabilities together with knowledge labeling (PAI-iTAG), mannequin constructing (PAI-Designer and PAI-DSW), mannequin coaching (PAI-DLC), compilation optimization, and inference deployment (PAI-EAS).
PAI is a one-stop machine studying platform for builders. With its core modules, reminiscent of Machine Studying Designer, Knowledge Science Workshop (DSW), Deep Studying Containers (DLC), and Elastic Algorithm Service (EAS), PAI offers an all-in-one answer for machine studying, overlaying knowledge labeling, mannequin growth, mannequin coaching, and mannequin deployment. PAI helps a number of open-source frameworks and AI optimization capabilities. PAI is versatile and simple to make use of.
- Knowledge Preparation
* PAI-iTAG
Within the knowledge preparation part, iTAG offers clever knowledge labeling providers. You may create knowledge labeling duties for the next knowledge varieties: picture, textual content, video, and audio. You can too create multimodal knowledge labeling duties. iTAG offers numerous content material and query parts for knowledge labeling. You should utilize the preset templates offered by iTAG or customized knowledge labeling templates primarily based on your small business necessities. iTAG additionally offers totally managed knowledge labeling providers which can be outsourced.
2. Mannequin Improvement
* PAI-Designer
Machine Studying Designer offers greater than 140 mature algorithms and means that you can develop AI fashions by performing visualized drag-and-drop operations in a low-code atmosphere.
* PAI-DSW
DSW means that you can develop fashions by way of interactive programming. DSW is a cloud built-in growth atmosphere (IDE) embedded with Pocket book, VS Code, and Terminal. DSW additionally grants you sudo permissions for versatile administration.
3. Mannequin Coaching
* PAI-DLC
You should utilize normal computing sources and Lingjun sources for mannequin coaching primarily based on situations and computing energy varieties.
- Basic computing sources: Alibaba Cloud normal computing sources, reminiscent of Elastic Compute Service (ECS), Elastic Container Occasion, and Elastic GPU Service (EGS). DLC helps a number of coaching frameworks reminiscent of Tensorflow, PyTorch, and MPI and offers versatile, steady, and easy-to-use mannequin coaching providers.
- Lingjun clever computing sources: Based mostly on the built-in optimization know-how of software program and {hardware}, DLC means that you can run ultra-large distributed deep studying jobs and offers advantages reminiscent of excessive efficiency, excessive effectivity, and excessive utilization. Each Lingjun AI Computing Service Serverless Version on the Alibaba Cloud public cloud and Lingjun AI Computing Service Devoted Version for a single tenant are supported. An AI engineering end-to-end platform with software-hardware heterogeneously built-in computing energy is offered.
4. Mannequin Deployment
* PAI-EAS
EAS means that you can deploy fashions as on-line inference providers or AI-powered internet functions. EAS is appropriate for a number of situations, reminiscent of real-time inference, asynchronous inference, and offline inference.
Chances are you’ll came upon extra options and it particulars here
Finish-to-end AI-powered R&D
- Helps knowledge labeling, mannequin growth, mannequin coaching, mannequin optimization, mannequin deployment, and AI O&M as a one-stop AI platform.
- Supplies over 140 varieties of optimized built-in algorithm parts.
- Supplies core capabilities reminiscent of a number of modes, deep integration with huge knowledge engines, multi-framework compatibility, and customized pictures.
- Supplies cloud-native AI growth, coaching, and deployment providers.
A number of open-source frameworks
- Helps Flink, a stream computing framework.
- Helps TensorFlow, PyTorch, Megatron and DeepSpeed, that are optimized deep studying frameworks primarily based on the associated open-source frameworks.
- Helps Parameter Server, a computing framework that may course of a whole lot of billions of samples in parallel.
- Helps Spark, PySpark, MapReduce, and different mainstream open-source computing frameworks.
Trade-leading AI optimization
- Helps high-performance coaching framework, sparse coaching situations, billions to tens of billions of sparse options, tens to a whole lot of billions of samples, and distributed incremental coaching of 1000’s of staff.
- Helps acceleration of mainstream framework fashions reminiscent of RestNet50 and Transformer language mannequin (LM) by utilizing PAI Blade.
Various service modes
- Helps totally managed and semi-managed providers for public cloud.
- Supplies high-performance AI computing clusters and light-weight service modes.
- Helps periodical scheduling by utilizing DataWorks. You may run scheduled duties within the manufacturing or growth atmosphere. This allows knowledge isolation.
The widespread used case are
- Massive language mannequin (LLM)
- Retrieval-Augmented Technology (RAG)-based LLM chatbot
- AI Portray
- AI Video Technology
- Distributed Coaching
Chances are you’ll discover extra situations here
In conclusion, Alibaba Cloud’s Platform for AI (PAI) is a complete and user-friendly answer designed for enterprises and builders to deal with numerous AI and machine studying challenges. By providing an end-to-end platform with over 140 built-in optimization algorithms, PAI streamlines all the AI engineering course of, from knowledge preparation and mannequin growth to mannequin coaching and deployment. Its flexibility, assist for a number of open-source frameworks, and industry-leading AI optimization make it a perfect alternative for numerous functions and situations, reminiscent of giant language fashions, AI portray, and distributed coaching. With PAI, companies can leverage the ability of AI to innovate and excel of their respective industries.
