Scientific Publications
Blog posts
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15 August 2024 Outperforming Claude 3.5 Sonnet with Phi-3-mini-4k for graph entity relationship extraction tasksWe fine-tuned Phi-3-mini-4k to exceed Claude Sonnet 3.5 for graph extraction quality by up to 20% and to reduce cost by orders of magnitude.
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30 June 2024 Transparency in News ReportingBeing able to trust your news is crucial. Transparency is the overarching tool to combat the harm of bad journalism.
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28 June 2024 AskNews’ Transparency ProtocolsCombating bias in news is no easy feat. Here is how we are tackling this challenge at AskNews.
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26 June 2024 The many faces of Fake NewsIf you believe the critics on the Internet, the world is plagued by a new problem called Fake News...
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10 June 2024 Context is King — Evaluating real-time LLM context quality with RagasWe explore the Answer Correctness and Context Precision for the top context providers in the LLM space, JinaAI, Tavily, and AskNews.
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2 May 2024 Infusing any LLM with news — one line of codeIf your LLM needs access to up-to-the minute news context, AskNews is your low-latency, high-coverage, natural language link for your LLM chain. In this post, we get you started with a single line of code.
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23 February 2024 Identifying media bias with AI: Russian news coverage of the death of Alexei NavalnyUsing our AI-powered narrative tracking at AskNews, we took a closer look at the volume and timing of news reports surrounding the death of Alexei Navalny...
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25 August 2023 Ray vs Dask: Lessons learned serving 240k models per day in real-timeOur in-house study comparing Ray vs Dask for large-scale model serving. We show how Flowdapt can be configured to reduce training time and GPU usage by 64%...
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16 June 2023 Real-time head-to-head: Adaptive modeling of financial market data using XGBoost and CatBoostWhich gradient boosted decision tree algorithm is superior for adaptive modeling of financial market data, XGBoost or CatBoost? There are plenty of articles comparing these algorithms on arbitrary static datasets...
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16 May 2023 FreqAI — from price to prediction: A guide to feature engineering for algorithmic trading using machine learningMarket dynamics remain one of the most stochastic processes known to humankind. This is likely due to the origin of the stochasticity: human emotion. Although the study of market dynamics dates back thousands of years...