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автоматическая обработка данных

  • 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
  • AI Web Scraper uses AI to intelligently scrape and extract structured information from web pages with dynamic content.
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    What is AI Web Scraper?
    AI Web Scraper automates the process of collecting and structuring data from websites by combining a headless browser for rendering JavaScript with powerful AI-driven parsing. Users supply a URL and optional custom prompts, and the tool fetches the page, renders dynamic content, and feeds the result into a large language model to extract tables, lists, metadata, summaries, or any user-defined information. Output is provided in clean JSON, ready for downstream processing or integration into data pipelines.
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