AI Factory 2.0: Accelerated Productization of Text Analytics Engines with No-code Machine Learning

[Romania, 20 Sep 2023] Zetta Cloud (ZA Cloud SRL) is saying a significant launch of its flagship “no code” Machine Learning platform AI Factory, model 2.0. The new launch goals at bridging the hole from knowledge to manufacturing for Text Analytics AI engines, with unprecedented ease of use designed for each machine studying professionals and non-technical enterprise customers.AI Factory is an end-to-end platform for constructing and deploying AI Text Analytics engines, in a safe method. The resolution consists of “Factory No-Code” machine studying dashboard that enables enterprise customers to create or adapt NLP engines for Classification and Named Entity (NER) duties and deploy them into manufacturing as Docker containers, and “IntelliDockers“, a set of prebuilt and adaptable out-of-the-box Text Analytics Docker containers in a position to carry out a number of duties throughout greater than 40 languages. The resolution supplies AI duties resembling language detection, sentiment evaluation, classification, summarization, named entity recognition, OCR, semantic comparability, or matter clustering.Major performance enhancements are notable each within the Machine Learning dashboard (Factory No-Code), with options designed for ease of use and productiveness, and the production-ready textual content analytics engines (IntelliDockers).What is new in AI Factory 2.0On the “no-code” machine studying element, an emphasis was positioned on making your complete course of as straightforward as doable whereas rising the standard output of the generated AI engines: hyperparameter optimization for robotically selecting the right settings for an ML course of, adaptable classifiers, for fine-tuning pre-trained Transformer fashions, multi-label classification coach functionality, fine-tuning of cross-language (XLU) fashions by transferring data from one language to others, and a number of other UX enhancements.On the AI manufacturing engines aspect, probably the most notable enchancment is the {hardware} optimization for commodity {hardware}, with engines now succesful of reaching throughput of hundreds of thousands of phrases per minute on CPU-only machines. A brand new Machine Translation engine succesful of processing greater than 50 languages, in any mixture, was added to the prevailing portfolio of 150+ NLP engines, and SSL assist, API key authentication, internet interfaces, and new supported enter codecs had been added to the manufacturing Docker containers.Read the total Product Release Notes: https://zettacloud.ai/ai-factory-2-0-accelerated-productization-of-text-analytics-engines-with-no-code-machine-learning/Emil Ștețco, founder and CEO:“With Factory 2.0 we continued to implement our Democratizing AI manifesto and considerably enhance the capabilities and user-friendly strategy of our no-code Machine Learning platform. Even although AI continues to develop into an necessary matter for many corporations, adoption into manufacturing environments has not progressed in keeping with expectations. The fundamental purpose for that is that the end-users of AI methods, the corporate enterprise customers, are nonetheless too disconnected from present know-how gives that don’t present the productization ranges, the safety, or the convenience of use required. We have launched into a journey to make AI accessible to customers on their very own phrases, of their infrastructure, for their very own knowledge and use circumstances, and most significantly, to make it accessible to non-technical customers. With the most recent AI Factory launch we’re nearer to this purpose, as creating machine studying engines for document-oriented course of automation has by no means been simpler.”About Zetta CloudZetta Cloud is an Artificial Intelligence R&D software program firm based in 2013 in Cluj-Napoca, Romania specializing in end-to-end adaptable and safe Text Analytics options. The firm is addressing use circumstances resembling knowledge triage, clever course of automation, data administration, and open supply intelligence, focusing on largely enterprise clients from regulated industries and the general public sector. Its present know-how stack consists of AI Factory, a number one no-code machine studying platform designed for safe non-public cloud and on-premise deployments, and TrustServista, a Google-funded resolution for monitoring and detecting on-line disinformation with the use of AI.For additional data please contactGeorge BaraChief Strategist[email protected]+40.752.20.0344www.zettacloud.aiZA Cloud SRL

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