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Knowledgator Engineering
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š What's LiqFit?
LiqFit is not just another library, it's a revolution in few-shot learning. Perfect for tasks ranging from text classification to question-answering, LiqFit stands out with its ability to work wonders with minimal data. Imagine achieving top-notch results with just 8 examples per label - that's the power of LiqFit!
š Easy Installation & Usage:
Install via pip: pip install...
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LiqFit
New revolutionized way of NLP model fine-tuning
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LiqFit(Language Inference Quick Fit) - our new framework for few-shot learning of cross-encoder models. It's easy to use and incredibly effective for tasks like text classification, NER, and Q&A, achieving competitive results with just 8 examples per label!
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LiqFit
New revolutionized way of NLP model fine-tuning

Knowledgator Engineering
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What use cases do you envision for text classification in your industry? To spark some ideas, here are some top case studies we've already tackled:
- analyzing social media for trends and key influencers,
- conducting market analysis by extracting industry-specific data,
- enhancing competitive intelligence through strategic information gathering,
- streamlining retail operations by identifying...
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Adaptive Named Entity Recognition (NER)
Identify and extract any custom key entities within the text
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Identify a wide range of entities like company names and product features in any text with our NER model. Zero-shot learning, high accuracy, and cost-efficient processing up to 150k tokens.
Try it in our AI Playground, no registration needed.
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Adaptive Named Entity Recognition (NER)
Identify and extract any custom key entities within the text
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Knowledgator Engineering
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What use cases do you envision for text classification in your industry? To spark some ideas, here are some top case studies we've already tackled:
- customer sentiment analysis,
- user intention definition,
- scientific literature review,
- product categorization,
- data collection for market research,
- content moderation,
- spam detection,
- lead qualification,
- real estate...
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Next-Generation Text Classification
Categorize, analyze sentiment, or assign any tags to text
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Categorize, assign tags, or analyze the sentiment of any text, up to 150k tokens. Comprehend-it is a next-generation text classification model designed for zero-shot, multi-label categorization with output scoring.
Test in our AI Playground, no registration.
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Next-Generation Text Classification
Categorize, analyze sentiment, or assign any tags to text