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#LanguageModel

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This week, we were discussing the central question Can we "predict" a word? as the basis for statistical language models in our #ISE2025 lecture. Of course, I wasx trying Shakespeare quotes to motivate the (international) students to complement the quotes with "predicted" missing words ;-)

"All the world's a stage, and all the men and women merely...."

#nlp #llms #languagemodel #Shakespeare #AIart lecture @fiz_karlsruhe @fizise @tabea @enorouzi @sourisnumerique #brushUpYourShakespeare

Why do we write, anyway? I believe that the main reason a human should write is to communicate original thoughts. To be clear, I don’t believe that these thoughts need to be special or academic. Your vacation, your dog, and your favorite color are all fair game. However, these thoughts should be yours: there’s no point in wasting ink to communicate someone else’s thoughts. In that sense, using a #languagemodel to write is worse than plagiarism. claytonwramsey.com/blog/prompt #AI #education #writing

claytonwramsey.comI'd rather read the prompt I have literally never seen LLM writing that actually improved my life.

Next step in our NLP timeline is Claude Elwood Shannon, who already laid the foundations for statistical language modeling by recognising the relevance of n-grams to model properties of language and predicting the likelihood of word sequences.

C.E. Shannon ""A Mathematical Theory of Communication" (1948) web.archive.org/web/1998071501

#ise2025 #nlp #lecture #languagemodel #informationtheory #historyofscience @enorouzi @tabea @sourisnumerique @fiz_karlsruhe @fizise

🧠 🔡 Researchers from the NeuroAI Laboratory, led by Martin Schrimpf, have developed the first AI language model that mimics the organisation of the brain: it captures both how neurons are arranged and how they function.

Find out more: go.epfl.ch/3d72e6

go.epfl.ch · A new AI language model that mimics the organization of the brainEPFL researchers have developed the first AI model of language in the brain that captures both how neurons are arranged and how they function.

#Mistral has unveiled Mistral Saba, a language model specifically designed for Arabic-speaking regions. This development signifies a significant step towards inclusive AI, emphasizing the importance of linguistic and cultural diversity in technology.

Key Features:
☑ Cultural relevance - Mistral Saba is tailored to understand and process the intricacies of Arabic dialects and cultural contexts, ensuring more accurate and meaningful interactions.

☑ Enhanced applications - By prioritizing regional specifics, this model is set to improve AI-driven services such as customer support, content creation, and educational tools within Arabic-speaking communities.

Follow the link 👉 techcrunch.com/2025/02/17/mist