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www.capicua.com
| | www.techelevator.com
3.7 parsecs away

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| | I spend my days teaching new developers how to code atTech Elevator's fantastic programming bootcamp. My evenings and weekends, however, belong to my study of data science, artificial intelligence, and...
| | blog.mozilla.ai
3.9 parsecs away

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| | When it comes to using LLMs, it's not always a question of which model to use: it's also a matter of choosing who provides the LLM and where it is deployed. Today, we announce the release of any-llm, a Python library that provides a simple unified interface to access the most popular providers.
| | nguyenhuythanh.com
3.6 parsecs away

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| | My career began in Natural Language Processing, and I've studied the mathematics and theories behind AI extensively. So when ChatGPT took the world by storm, I approached it with skepticism. I viewed Large Language Models (LLMs) as sophisticated "next word predictors" - black boxes that ingest vast amounts of data and generate plausible word sequences from initial prompts, and felt that The hype surrounding LLMs seemed overblown. I struggled to see how these "predictors" could revolutionize our work and lives.
| | www.svpino.com
29.0 parsecs away

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| I never thought things were going to change this much. From the beginning, it was obvious that Large Language Models were not a joke, but I thought they had fundamental limitations preventing them from getting too far. I was wrong...