ai
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Private Data Anonymization for LLM prompting
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Preserving data confidentiality has become an increasingly challenging task in the era of Large Language Models (LLMs), such as ChatGPT or Bard, which have ushered in a new era of Natural Language Understanding and Generation, making it possible to extract valuable insights from vast amounts of textual data. However, this […]
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The 2023 Digital Decade report shows low AI uptake for enterprises. What are the reasons?
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The 2023 Digital Decade Report was published on September 27th, 2023 by the European Commission and describes in detail the state of the European Union in its progress to digital transformation. The goal for Artificial Intelligence adoption by Enterprises is only at 11% which confirms the skeptic opinion that, even […]
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ML adaptation for RNN and LLM models in AI Factory 2.0
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The AI Factory no-code Machine Learning dashboard offers training capabilities for Classification and Named Entity Recognition. Each option relies on different algorithms: The reason why you would use either the RNN Classifier or the Transformers-based (XT) Classifier has much to do with the amount of training data you have and […]
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AI Factory 2.0: Accelerated productization of Text Analytics engines with no-code Machine Learning
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Zetta Cloud is announcing a major release of its flagship “no code” Machine Learning platform AI Factory, version 2.0. The new release aims at bridging the gap from data to production for Text Analytics AI engines, with unprecedented ease of use designed for both machine learning professionals and non-technical business […]
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Throughput benchmark: AI Factory engines provide unprecedented speed on commodity hardware
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One of the key differentiators of AI Factory‘s Text Analytics capabilities is the ability to process content at tremendous speeds even on commodity hardware. With the AI Factory version 2.0 release his capability was enhanced across the entire machine learning to inference pipeline, with hardware optimization taking place for all […]
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Multi-class vs. Multi-label Classification
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The most common AI Text Analytics task is Classification. Document classification works for a plethora of use- cases, from sentiment/emotion analysis, intent detection, news categorization, email classification, and so on. There are few business-related processes that do not require a classifier in order to be automated, and there are so […]
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It’s AutoMagical! How does the AI Factory hyperparameter optimization work
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A new and exciting feature was added to the AI Factory version 2.0 release: The AutoMagical Settings switch for the Classifier trainers. With just a click, Factory will automatically (and magically!) determine the best hyperparameters for the training process to obtain the best AI classifier from your data. Read the […]
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Decentralizing AI: From GPU Challenges to No-Code Machine Learning
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Just by looking at the hype happening in all media and driven by the fast pace of changes in the AI industry, one could be tempted to think that everything’s coming up roses, with generative AI LLMs being the panacea for all technological challenges. Emil Ștețco, founder and CEO of […]
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The AI LLM Battle, an EU perspective
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This title might seem strange, as all the attention for Artificial Intelligence Large Language Models goes to the US-based OpenAI, Google, and Microsoft, with their GPT, Bard, and GitHub Copilot respectively. But something is also brewing in Europe, but nobody is sure about what the strategy might be. The European […]
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Accelerating workforce onboarding and training with Artificial Intelligence
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Quickly onboarding new hires to become productive, expanding their knowledge, and addressing retention – these are all key areas where corporate knowledge management struggles with. This is mostly due to the vast amount of internal unstructured content that needs to be available to employees, customized and presented in an easy-to-consume […]