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| 🔗 Stories, Tutorials & Articles |
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| Minerva: Solving Quantitative Reasoning Problems with Language Models |
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Language models have demonstrated remarkable performance on a variety of natural language tasks. Solving mathematical and scientific questions requires a combination of skills, including correctly parsing a question with natural language and mathematical notation.
This post by Google AI Team shows that by focusing on collecting training data relevant for quantitative reasoning problems, training models at scale, and employing best-in-class inference techniques, we achieve significant performance gains. Minerva combines several techniques, including few-shot prompting, chain of thought or scratchpad prompting, to achieve state-of-the-art performance on STEM reasoning tasks. |
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| Write better docs with a product thinking mindset ✅ |
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Technical writers often fall into a “just get it done” mindset, or what Shreyas Doshi calls project thinking. Project thinking focuses on the steps and process for creating a product, Doshi says.
Doshi defines product thinking as follows in a Twitter thread:
“Product Thinking is about understanding motivations, conceiving solutions, simulating their effects, and picking a path based on the effects you want to create.”
By applying product thinking to documentation, we can write more useful, relevant, high-quality documentation. Embracing product thinking lets us write higher-quality documentation that is relevant to customers. |
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| Big clouds aren't always the right fit for small businesses |
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| Sometimes, you need just the basics from a smaller cloud provider for your SMB needs. |
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| The really important job interview questions engineers should ask (but don't) |
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| These questions are direct, but a company that reacts badly to them may not be a good place to work. There are also a lot of questions here - think of them as themes, and you don't need to ask them all. Prioritize based on what you hear through the process. |
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| Things You Should Know About Databases ✅ |
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| This post covers internal workings of indexes and transactions of RDBMSs. |
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| Deprecated Linux Commands You Should Not Use Anymore (And Their Alternatives) |
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| Linux and its toolchain keep on evolving. Here are a few popular Linux commands that have been deprecated or going to be deprecated soon. |
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| Remote Development at Slack ✅ |
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For years, engineers at Slack isolated and tested their changes by running microcosms of the Slack application on their local computers. This was difficult for many reasons: it involved installing and maintaining local dependencies, handling resource intensive software, and writing custom scripts that must work across different operating systems.
The developer productivity team noticed this pain through their user surveys and metrics, and desperately wanted to solve the problem. The team explored other ways to handle this. |
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| Remote development with Rust on fly.io |
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| Instead of buying a f***-you CPU (like a Threadripper, or something more consumery like the latest Ryzens), maybe you rent a big cloud machine that you can turn on and off as needed. Just for the big stuff. |
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| Create, train, and deploy a billion-parameter language model on terabytes of data with TensorFlow and Amazon SageMaker |
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| This post introduces two main approaches: data parallelization and model parallelization using Amazon SageMaker, and discuss their pros and cons. |
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| How Static Code Analysis Prevents You From Waking Up at 3AM With Production on Fire |
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| Xe Iaso, the Archmage of Infrastructure at Tailscale, talks about how static analysis helps you engineer more reliable systems. |
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| Testing the Netlify Cache Plugin with Eleventy |
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| An example of caching for Netlify with an Eleventy site |
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