Frontier Tower AI Paper Reading Club - Week 15 - Approaching Human-Level Forecasting with Language Models
Weekly paper: Approaching Human-Level Forecasting with Language Models https://arxiv.org/pdf/2402.18563
Brief paper summary: Berkeley researchers built a retrieval-augmented, fine-tuned LLM system which forecasts real-world events by reading recent news, reasoning through evidence, and outputting probabilities. It approaches human crowd forecasting performance and improves results slightly when combined with crowd forecasts.
What are the group goals? Stay on top of AI research, improve understanding of AI fundamentals+math.
Who is welcome? Everyone! Try to put in at least some time on the paper and come prepared with questions or things you'd like to discuss, but it's ok to just show up.
How will it work? Ideally everyone shows up and has at least made one solid pass through the paper, and then we can spend 30-60 minutes as a group going over it.
This event is hosted at the Frontier Tower:
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