large language models
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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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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 […]