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 veekaybee.github.io
Why are we using LLMs as calculators? | ?Vicki Boykis?
| | codeincomplete.com
AI, ML, and Large Language Models | Jake Gordon
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| | Personal Website for Jake Gordon
| | sophiabits.com
Do you need an LLM for that? | Sophia Willows
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| | [AI summary] The article argues that Large Language Models are best suited for generative tasks like creating content, but traditional supervised learning methods are superior for non-generative tasks such as classification and named entity recognition due to better accuracy, lower latency, and reduced costs.
| | blog.miguelgrinberg.com
How LLMs Work, Explained Without Math - miguelgrinberg.com
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| | miguelgrinberg.com
| | blog.fastforwardlabs.com
"Hello world" in Keras (or, Scikit-learn versus Keras)
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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.