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Redis doesn’t have a default authentication setup in place—exposing it to security vulnerabilities. Learn how to secure your Redis database using standard practices.

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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.

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.

Sometimes, you need just the basics from a smaller cloud provider for your SMB needs.

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.

This post covers internal workings of indexes and transactions of RDBMSs.

Linux and its toolchain keep on evolving. Here are a few popular Linux commands that have been deprecated or going to be deprecated soon.

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.

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.

This post introduces two main approaches: data parallelization and model parallelization using Amazon SageMaker, and discuss their pros and cons.

Xe Iaso, the Archmage of Infrastructure at Tailscale, talks about how static analysis helps you engineer more reliable systems.

An example of caching for Netlify with an Eleventy site

Erg, a statically typed language that is Python compatible, has been launched.

Github plans to roll out code signing, which will help beef up the security of open source projects.

Microsoft announced Microsoft Dev Box Preview, a managed service that enables developers to create on-demand, high-performance, secure, ready-to-code, project-specific workstations in the cloud.

Visual Studio for Mac 17.3 is now available.

Google’s investing arms are pumping $1.56 billion into Blockchain companies. A new report shows that major tech firms have made head-scratching investments into some blockchain companies, some of which are hurting after the recent crash.

Google announced discontinuing Google Cloud IoT Core - according to the documentation, the company will retire the service on the 16th of August, 2023. 

Amazon EMR on EKS gets up to 19% performance boost running on AWS Graviton3 Processors vs. Graviton2.

Google announced the general availability of curated detections as part of our Chronicle SecOps Suite. Curated detections for Chronicle enables security teams to use Google’s intelligence and expertise in responding to threats and cyberattacks.

Stanford engineers created a more efficient and flexible AI chip, which could bring the power of AI into tiny edge devices.

Internxt is a fully-encrypted, open-source cloud storage service designed to keep your data safe and well out of reach of hackers and data collectors. Designed for Web3, Internxt's zero-knowledge ecosystem currently offers three primary services: Drive, Photos, and Send.

Introducing Internxt - World's most secure cloud storage

A multiplayer game entirely built and run in Microsoft Word using Microsoft add-ins and JavaScript!

- SiFive is looking for Physical Design Flow Integration Engineer, San Mateo, CA, USA .
- SiFive is looking for Software Automation Lead, San Mateo, CA, USA .
- Sardina Systems is looking for remote SysOps / Cloud System Engineer .
- SiFive is looking for Senior Software Engineer, Developer Tools, San Mateo, CA, USA .
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