Artificial Intelligence

Did you know you can run powerful AI models right on your computer? It's true! Today, I will show you how easy it is to get started with Llama 3.2 and OpenWebUI.

Did you know that coding tools have evolved so rapidly that they're now shaping the future of programming itself? As technology advances, platforms like Replit are leading the charge, making coding more accessible and collaborative than ever before. In this article, I'll show you what Replit is and how to use it.

Today, we'll explore Cursor AI. Whether you're an experienced developer or a beginner, this article will be helpful because this tool will change how we code.

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:

My name is Paul Karol and I work as a director in a Russian IT company that mostly sells their products in the international market.

I have been deeply involved in a project and I haven’t had time to write here lately.  

But out of this work came an understanding of two very large Mistakes that are being made that prevent your pre-sales from succeeding. 

I’m going to go into deeper detail on each one of these issues in the next articles, but I will introduce them here now.

Let me make you a promise….. if you correct these two issues, your software and development projects will sell.  

**I have a proven track record. If these areas are fixed the company begins to sell 150 % more than they’ve ever sold in the past. 

150% more profits! 

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.

ChatGPT-4, the latest model from OpenAI, boasts impressive capabilities like text generation, question answering, problem-solving, coding, and even image analysis. However, accessing it requires a $20 monthly subscription on OpenAI's website. For residents of certain countries, accessing the service poses additional challenges due to restrictions, necessitating the use of foreign payment methods and VPNs.

We've created a list of the top-4 services that offer completely free access to ChatGPT-4. This article will delve into the advantages and limitations of each option, comparing them side-by-side.

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.

I'm excited to tell you about Meta's Llama 3.1, a powerful AI language model you can use for free. In this article, I'll show you how to install and run Llama 3.1 on your computer. This means you can use it without the internet and save money on AI costs.

This week is crazy for AI news! OpenAI will launch SearchGPT, which could replace traditional search engines like Google and even Perplexity AI.

Hey there! It's exciting to see how AI changes how we work and create stuff. I've been trying out many new AI tools recently, and I want to share my favorite picks for June 2024. These tools are amazing and could help you whether you're making content, running a business, or just curious about AI.

In this article, I want to showcase AI tools for creating summaries from YouTube videos. These AI tools can quickly summarize a video's content so you don't have to watch the entire thing. I'll demonstrate how to use these AIs to rapidly extract the main points from videos.

Do you want to know how to build an AI image analyzer? Then read this article till the end! I'm going to show you how to build AI analyzer tools really simply, so you almost don't have to have any prior knowledge. I will take you step by step, and we will use Project IDX and the Gemini API. This means you don't have to set up anything; everything we will do is on the cloud. If you're ready, then let's get started!

Recently, there has been a lot of talk about the success of artificial intelligence (AI), although this usually means another achievement in the field of generative neural networks.

And few people, speaking about AI, try to explain what they themselves understand by the term “artificial intelligence.” After all, it’s one thing to write about “AI problems,” and quite another to endow an ordinary computer algorithm with at least the rudiments of intelligence.

After all, the etymology of the established phrase “artificial intelligence” is not unambiguous and can take on different meanings depending on what meaning the author is trying to put into it.

In this article, I want to introduce you to something truly amazing—Perplexity AI. This AI tool has incredible potential, and I believe it can be a game-changer for many of you. I'll walk you through how to use Perplexity AI and highlight some of its great features.

In this article, we are going to do something really cool: we will build a chatbot using Python and the Gemini API. This will be a web-based assistant and could be the beginning of your own AI project. It's beginner-friendly, and I will guide you through it step-by-step. By the end, you'll have your own AI assistant!

In this article, I’m going to discuss something really important. If you’re a data analyst or you want to learn data analysis, please watch this video till the end because it’s really important.

Few days ago, Mira Murati, Chief Technology Officer at OpenAI, introduced the company's latest GPT model - GPT-4o. A new flagship model set to change how people interact with AI.

S.B. Pshenichnikov

The article outlines a new mathematical apparatus for verbal calculations in NLP (natural language processing). Words are embedded not in a real vector space, but in an algebra of extremely sparse matrix units. Calculations become evidence-based and transparent. The example shows forks in calculations that go unnoticed when using traditional approaches, and the result may be unexpected.

The use of IT in Natural Language Processing (NLP) requires standardization of texts, for example, tokenization or lemmatization.

After this, you can try to use mathematics, since it is the highest form of standardization and turns the objects under study into ideal ones, for example, data tables into matrices of elements. Only in the language of matrices can one search for general patterns in data (numbers and texts).

If text is turned into numbers, then in NLP these are first natural numbers for numbering words, which are then embedded into real vectors is irreversible ed in a real vector space.

Perhaps we should not rush to do this but come up with a new type of numbers that is more suitable for NLP than numbers for studying physical phenomena. These are matrix hyperbinary numbers. Hyperbinary numbers are one of the types of hypercomplex numbers.

Hyperbinary numbers have their  own  arithmetic,  and  if  you get used to  it,  it  will  seem  more  familiar  and  simpler  than  Pythagorean arithmetic.

In Decision Support Systems (DSS), the texts are value judgments and a numbered verbal rating scale. Next (as in NLP), the numbers are turned into vectors of real numbers and used as sets of weighted arithmetic average coefficients.

Mechanism Attention

Analysis of the principles of work in seq2seq tasks.
Mastering the lesson materials will allow you to study a more advanced technology: mechanism transformers