Have you ever heard of Gemini Code Assist? It’s an AI-powered coding assistant from Google that helps with writing, completing, and debugging code. The best part? It’s now free for individuals, freelancers, and students!
In this article, I’ll show you how to set up and use Gemini Code Assist inside VS Code. Whether you’re new to coding or an experienced developer, this tool can save you time and make coding easier. Let’s get started!
Написал лонгрид на английском о текущем состоянии открытых средств проектирования ASIC-ов. Заодно познакомил англоязычных читателей с практиками шаманов Сибири и фигурой Ивана Сусанина. Упомянул планируемые семинары в Мексике и Армении.
A text on the current state of Open-source ASIC design tools. Includes side discussions of the upcoming hackathons in Mexico and Armenia, Docker and Python, Static Timing Analysis and RISC-V, Siberian shamans and treacherous swamps in Belarus.
Hey there! I'm excited to share some big news from Google about their latest AI model, Gemini 2.0. I encourage you to read the article till the end and watch my video demo. It's mind-blowing!
In my work, I often encounter various services designed to simplify tasks across different areas. I’m not talking about tools like GSA or A-Parser but about Zennoposter or BAS. I am no professor in automation, so I’ll explain in layman's terms: these services are essentially complex, multi-layered platforms that allow the creation of bots and scripts to perform almost any task without human intervention—a sort of “basic neural network.” By the way, such services existed long before neural networks became mainstream for everyday use.
While exploring BAS, I encountered a situation where many developers creating BAS scripts (ironically, developers developing) idealize CAPTCHA solving using clicks.
Napkin AI is an innovative artificial intelligence tool that transforms text descriptions into visual sketches and diagrams. Launched in 2023, this toolallows users to quickly convert their ideas into visual representations, similar to drawing on a napkin — hence the name. In this tutorial, I will walk you through its top features and provide a video demonstration.
When we go abroad for vacation or meet a foreigner on the street who doesn’t speak Russian but is trying to ask, “Where is the restroom? How do I get to…”, we wonder how to explain things to them in Russian in a way they would understand.
I asked myself a similar question when trying to explain something to a colleague using SQL while they were working with Java. The main goal of my work was to create a quality test model. Without it, there would be no proper regression testing later on.
I started by building a framework filling it with test cases. We held a meeting where we discussed priority of positive and negative test cases briefly. When developing the test scenarios, I used the incremental model, but as practice showed, this approach also required an iterative method. For example, it is like having the outline of the Mona Lisa first, then adding colors, painting the background, and so on.
It’s better to maintain the checklist in Excel format to add columns, write notes, and more. And let’s not forget that, as we take on the role of Leonardo da Vinci, we use different colors and get creative.
I am a manager by profession specializating in Production Management. My motivator is the Theory of Constraints (TOC) methodology, which focuses on identifying and managing the key constraint of a system to determine the efficiency of the entire system as a whole:
The explicit reparameterization trick is often used to train various latent variable models due to the ease of calculating gradients of continuous random variables. However, due to its peculiarities, explicit reparameterization trick is not applicable to several important continuous standard distributions, such as mixture, Gamma, Beta and Dirichlet.
An alternative method for calculating reparameterization gradients relies on implicit differentiation of cumulative distribution functions. The implicit reparameterization trick is much more expressive and applicable to a wider class of distributions
This article provides an overview of various reparameterization tricks and announces a new Python library, irt.distributions, for sampling from various distributions using the implicit reparameterization trick.
Every SEO professional has encountered CAPTCHA. If not, they are either not professionals, misunderstand the term SEO (possibly confusing it with SMM or CEO), or are very new to this challenging field.
One could endlessly deny and argue that CAPTCHA is overrated and does not deserve significant resources. But these arguments end the moment one needs data from a search engine result page, like Yandex, without knowledge of XML requests… Or, say, a client wants to scrape the entire Amazon (just because they do) and offers good pay...
In the last couple years Artificial Intelligence has taken the world by storm, starting to revolutionize the tech industry in many aspects, including UX. AI can help UX designers to automate some routine tasks that take a lot of time, providing more space for creativity and product quality improvement. It’s not likely that AI might replace human designers in the near future, but it can definitely ease the work of designers in some ways.
Let’s discuss how AI can be applied in UX Design these days:
Imagine: you've just created an incredible decentralized application, and it's so cool that even your grandmother wanted to try it. But once users are faced with the need to pay a commission, the entire UX (User Experience) rapidly slides down like a ball down a slide. Blockchain promises a bright future in which decentralization, transparency and security are our best friends, and it makes us pay for daily operations. Imagine if you had to pay every time you like on social networks or send a message in a messenger. It's terrible, isn't it? But dApps users face something like this every day.
But now, like a prince on a white horse, GSN (Gas Station Network) appears. With its help, developers can make their applications gas-less, and users will finally be able to forget about commissions like a nightmare.
In this article, we will look at what GSN is, how it works, and how to implement it into your projects to please users.
In today's world, where businesses increasingly rely on effective communication, cloud technologies offer a wide range of solutions to optimize interactions both within the company and with customers. Three of the most popular options are UCaaS, CCaaS, and CPaaS. While they all fall under the umbrella of cloud communications, their functionality and applications differ significantly. Let's delve into the details.
UCaaS (Unified Communications as a Service)
UCaaS unifies various communication channels, such as voice calls, video conferencing, messaging, and email, into a single platform. This allows employees to easily communicate and collaborate with each other, regardless of their location.
Benefits of UCaaS:
OpenAI has recently launched a new feature called Canvas for ChatGPT, designed to enhance users' interactions with AI for writing and coding projects. This new interface aims to provide a more collaborative and interactive experience, moving beyond the traditional chat format. In this article, I'll cover the top features of ChatGPT Canvas and show how to use it.
CAPTCHA is not just a single word that can be defined; it's an acronym consisting of nine words (and two prepositions): Completely Automated Public Turing Test To Tell Computers and Humans Apart. This mouthful was shortened to the concise CAPTCHA to avoid creating yet another hard-to-pronounce term. Translated into Russian, this abbreviation sounds like "Полностью автоматизированный публичный тест Тьюринга для различения компьютеров и людей" (Fully Automated Public Turing Test to Differentiate Computers and Humans).
Over the past two years, artificial intelligence has become one of the main topics in the media and many famous people have expressed their thoughts on this topic. But if you start searching on the Internet for collections of quotes about AI, you will mostly find quotes from CEOs of multi-billion dollar companies, futurists and scientists conducting research in this field. Moreover, these collections are so similar to each other, which sometimes gives the impression that they were compiled by AI. In this article, I have collected quotes from world famous people who are usually not included in such collections of quotes:
Hello everyone, this is Denis Weber.
One day, I was once again looking for a 3d model on stock for my project and came across a neural network that can create high-quality 3d models in just a couple of clicks. And I wondered if it would be possible to create something like a music video using only the capabilities of existing neural networks?
If you prefer the video format, I will leave a link to the video at the end of the post.
Are you tired of writing messy and unorganized code that leads to frustration and bugs? You can transform your code from a confusing mess into something crystal clear with a few simple changes. In this article, we'll explore key principles from the book "Clean Code" by Robert C. Martin, also known as Uncle Bob, and apply them to Python. Whether you're a web developer, software engineer, data analyst, or data scientist, these principles will help you write clean, readable, and maintainable Python code.
Google has launched an exciting new feature called "Gems" within its Gemini platform. This feature allows users to create personalized AI chatbots tailored to their needs. Let’s explore what Google Gem is.
The world of AI is rapidly expanding, placing powerful tools within reach of individuals and businesses alike. These tools offer innovative solutions to a myriad of challenges. This article presents a curated selection of the top free AI tools currently available, designed to meet a diverse range of needs – from crafting compelling content and analyzing complex data to streamlining workflows and enriching your leisure time.
In this article, I would like to introduce a new web browser called Ladybird. This ambitious open-source project aims to revolutionize the browsing experience. Although it hasn't been officially released, I had the opportunity to test it on Ubuntu. In this article, I'll show you what it looks like and explain how you can run it on your computer.
Hey there! I'm excited to dive into an exciting topic today — how AI can help us create more effective prompts. Did you know that AI-generated prompts can be 30% more effective than those crafted by humans? Let's explore how we can harness this power to simplify prompt engineering and make our interactions with AI more efficient.