News Snippet Generation
Blog ArchiveSnipAId Demo

Welcome to our Learning Journey on Open Source Large Language Models and how to assist journalists with generative AI in German!

Posts

  • Apr 17, 2023

    SnipAId: Review and future prospects

  • Apr 13, 2023

    SNIP-IGEL: Snippet Generation for News in German Language through Continued Multitask Prompted Fine Tuning

  • Apr 11, 2023

    Alpaca and IGEL: Supporting German Language through Multitask Prompted Fine Tuning

  • Apr 6, 2023

    BLOOM: Bridging Language Barriers using a Prompting and Translation Approach

  • Apr 4, 2023

    GPT-J-6B: Exploring Approaches for News Snippet Generation and Evaluation

  • Mar 30, 2023

    The Model Safari: Embarking on a Journey of Explorative Model Comparison

  • Mar 28, 2023

    German News Data: A Comprehensive Guide to Public Datasets and Considerations for Private Dataset Creation

  • Mar 23, 2023

    The power of Large Language Models: History and Concepts

  • Mar 21, 2023

    Learning from comparable tasks: Insights from News Headline Generation and Text Summarization

  • Mar 16, 2023

    Requirements and Challenges: Understanding the Task of News Snippet Generation

  • Mar 14, 2023

    Snippets: A First Touchpoint for News and how to generate them with AI

  • Mar 9, 2023

    Use Cases for AI Tech in journalism

  • Mar 7, 2023

    An introduction to AI in the news domain: How artificial intelligence is transforming the way news is researched, produced, and distributed

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News Snippet Generation

  • The SnipAId Team
  • Hannah Greven
  • Benjamin Rech
  • snipaid-nlg
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snipaid.tech

A Learning Journey on Open Source Large Language Models and how to assist journalists with generative AI in German