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資料註解

  • Lilac is the ultimate tool for enhancing AI data quality.
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    What is Lilac?
    Lilac provides robust features for exploring, filtering, clustering, and annotating data, leveraging LLM-powered insights to enhance data quality. The tool enables users to automate data transformations, remove duplicates, perform semantic searches, and detect PII, ultimately leading to superior AI performance and reliability.
    Lilac Core Features
    • Interactive data exploration
    • LLM-powered filtering
    • Clustering tools
    • Annotation capabilities
    Lilac Pro & Cons

    The Cons

    No explicit pricing details or free tier information mentioned
    Limited to dataset-centric AI tasks rather than broader AI agent functionalities

    The Pros

    Enables detailed exploration and inspection of large datasets for LLMs
    Supports advanced search capabilities including semantic, keyword, and fuzzy-concept search
    Provides tools to edit and compare dataset fields effectively
    Offers fast dataset computations, clustering, and embedding at scale
    Trusted by AI researchers and organizations for improving data quality pipelines
    Open source with active GitHub repository and community support
    Lilac Pricing
    Has free planNo
    Free trial details
    Pricing model
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://lilacml.com
  • Imagga provides an advanced image recognition API for automatic tagging, categorization, and visual search.
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    What is Imagga?
    Imagga's image recognition API is a comprehensive solution for businesses looking to automate their image analysis processes. Key features include automatic tagging, categorization, and visual search. The API can be integrated into various software systems and applications, unlocking the potential of visual data. With both Cloud and On-Premise options, Imagga provides flexibility and scalability to meet diverse business needs, ensuring optimized image management and enhanced discoverability of visual content.
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