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www.gabrieljiva.com | ||
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blog.danslimmon.com
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| | | | | When complexity leaps are on the table, there's usually also an opportunity to squeeze some extra juice out of the system you have. By tweaking the workload, tuning performance, or supplementing the system in some way, you may be able to add months or even years of runway. When viable, these options are always preferable... | |
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jsilva.blog
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| | | | | This is my fourth time summarizing one of Malcolm Gladwell's books. His writing makes me think and helps me to see how the world works from a different perspective and in ways that are often counterintuitive. | |
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o565.com
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| | | | | I was first exposed to the concept of control vectors through Theia Vogel's "Representation Engineering Mistral-7B an Acid Trip". The author does a good job of breaking down the concepts from the Representation Engineering: A Top-Down Approach to AI Transparency so if you haven't seen either, they're worth a read. | |
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programminghistorian.org
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| | | [AI summary] The text provides an in-depth explanation of using neural networks for image classification, focusing on the Teachable Machine and ml5.js tools. It walks through creating a model, testing it with an image, and displaying results on a canvas. The text also discusses the limitations of the model, the importance of training data, and suggests further resources for learning machine learning. | ||
