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Generative AI: Using LLMs To Produce Culturally Recent Translations Vs Classical NMT – "Dropping" A Song

Last month we explored the ability of Large Language Models (LLMs) to produce higher-quality translations than traditional Neural Machine Translation…

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Embedding Models: Multilingual Embedding Versus Machine Translation + English Embedding

There are at least 7,000 languages actively spoken today across the world, yet much of the focus of embedding models…

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Generative AI: Translation APIs Versus LLM For Social Media Translation

Large Language Models can perform a wide array of tasks, including textual translation. Given the widespread availability of existing dedicated…

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The Language Bias Of Large Language Models: Why Myanmar Is 1300% More Costly Than English In GPT-3

Large Language Models (LLM's) like OpenAI's ChatGPT and Google's Bard interpret language not as discrete words, but as word-parts known…

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Hyperlinking Television: Connecting Our Nation's Legislation To The Legislative Process Via Deep Linking CSPAN

In collaboration with the Internet Archive's TV News Archive and the Media-Data Research Consortium, we are tremendously excited today to…

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Visual Explorer: Introducing Visual Explorer Lenses

Today we are excited to unveil Visual Explorer Lenses: a powerful new metaphor for engaging with and understanding video that…

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Brookings: Television As Data: Opening The Internet Archive’s Two Decade Archive Of Global Television News Spanning 50 Countries To Journalists & Scholars Through AI, Analytics, Search & Visualization

Kalev spoke at the Brookings Institution this afternoon, surveying GDELT's various datasets and especially its new collaborations with the Internet…

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Large Language Models (LLMs) + Planetary-Scale Realtime Data: Current Limitations

While impressive, there are still numerous challenges with current state of the art Large Language Models (LLMs) when applied to…