Welcome to our Learning Journey on Open Source Large Language Models and how to assist journalists with generative AI in German!
Posts
SnipAId: Review and future prospects
SNIP-IGEL: Snippet Generation for News in German Language through Continued Multitask Prompted Fine Tuning
Alpaca and IGEL: Supporting German Language through Multitask Prompted Fine Tuning
BLOOM: Bridging Language Barriers using a Prompting and Translation Approach
GPT-J-6B: Exploring Approaches for News Snippet Generation and Evaluation
The Model Safari: Embarking on a Journey of Explorative Model Comparison
German News Data: A Comprehensive Guide to Public Datasets and Considerations for Private Dataset Creation
The power of Large Language Models: History and Concepts
Learning from comparable tasks: Insights from News Headline Generation and Text Summarization
Requirements and Challenges: Understanding the Task of News Snippet Generation
Snippets: A First Touchpoint for News and how to generate them with AI
Use Cases for AI Tech in journalism
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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