
What's Up, Docs? Document Summarization with LLMs
2 participants
Submission window closes on Thursday, July 23, 2026.
Wednesday, March 25, 2026
About This Competition
Data science competition for social good: What's Up, Docs? Document Summarization with LLMs. Join now and compete!
Why This Competition Matters
What's Up, Docs? Document Summarization with LLMs is positioned around social impact, machine learning, applied ai, which makes it useful for building visible proof that you can ship under constraints. The combination of 1-5, Free, and Prizes TBD in rewards makes it a strong fit for learners who want both portfolio value and competitive pressure.
Best Fit For
- Builders who want hands-on exposure to social impact, machine learning, applied ai.
- Teams or solo operators comfortable with Prompt Engineering.
- Free-entry competitors looking for portfolio-grade proof of work.
Prizes
Required Skills
Recommended Tools
Topics
How To Approach It
Relevant Courses To Take First
Build the exact skills this competition rewards, then use the challenge as your proof of work.

Introduction to Large Language Models
Coursera · Google Cloud
Explore the foundations of large language models and how they revolutionize natural language processing. Understand transformer architecture, training methodologies, and practical applications of LLMs.

Build A Database RAG AI Assistant with OPENAI and LangChain
Udemy · Udemy
Learn to build advanced AI assistants using Retrieval-Augmented Generation (RAG) with OpenAI APIs and LangChain framework. Combine large language models with database systems to create intelligent applications.
Ready to Compete?
120 days remaining. Don't miss your chance!


