Long-form factuality in large language models

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  • emerging-trajectories

    Open source framework for using LLMs to forecast political, economic, and social events.

  • For those interested in using search-augmented "reasoning", I implemented something similar in Emerging Trajectories[1], an open source package that forecasts geopolitical and economic events. We extract facts[2] from various websites (Google searches, news articles, RSS feeds) and have the LLM generate a hypothesis on a metric.

    We're tracking the info forecasts to see how well this does for future events. For example, we're pitting the LLMs against each other to predict March 2024 CPI[3].

    [1] https://emergingtrajectories.com/

    [2] Sample code: https://github.com/wgryc/emerging-trajectories/blob/main/eme...

    [3] https://emergingtrajectories.com/a/statement/28

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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