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 llm-guard.com
Sensitive - LLM Guard
| | www.bennadel.com
Working Code Podcast - Episode 201: LLM's vs Stack Overflow
2.3 parsecs away

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| | Ben Nadel and the crew talk Large Language Models (LLMs) and their impact on sites like Stack Overflow.
| | jeffreyladish.com
Are Large Language Models like laMDA sentient? - jeffreyladish.com
2.0 parsecs away

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| | In this post I explain what we can and can't learn about AI sentience from conversations with Large Language Models.
| | blog.adnansiddiqi.me
Introduction to LLM | Adnan's Random bytes
1.7 parsecs away

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| | Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.
| | blog.fastforwardlabs.com
"Hello world" in Keras (or, Scikit-learn versus Keras)
8.9 parsecs away

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| This article is available as a notebook on Github. Please refer to that notebook for a more detailed discussion and code fixes and updates. Despite all the recent excitement around deep learning, neural networks have a reputation among non-specialists as complicated to build and difficult to interpret. And while interpretability remains an issue, there are now high-level neural network libraries that enable developers to quickly build neural network models without worrying about the numerical details of floating point operations and linear algebra.