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Artificial Intelligence

AI, ANN and other forms of an artificial Intelligence

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Master Data Analysis with ChatGPT — How to Analyze Anything (Beginners Guide)

Level of difficulty Easy
Reading time 3 min
Views 25

Today we’re diving into an exciting feature within ChatGPT that has the potential to enhance your productivity by 10, 20, 30, or even 40%. If you’re keen on learning how to leverage this feature to your advantage, make sure to read this article until the end. This feature stands out because it allows you to analyze almost anything by uploading your data and posing various questions to ChatGPT. Whether it's business data, your resume, or any other information you wish to explore, ChatGPT is here to deliver answers based on your specific dataset.

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Mastering ChatGPT

Level of difficulty Medium
Reading time 7 min
Views 1.3K

In today's rapidly advancing technological landscape, natural language processing and comprehension have become essential components of everyday life. Leading the charge in this arena is OpenAI's ChatGPT API, renowned for its exceptional ability to understand and interact with human language. Imagine elevating ChatGPT's functionality to new heights, enabling it to carry out specific tasks based on commands given in natural language. This article aims to shed light on the potential of incorporating function calling into the ChatGPT API, thereby enhancing its utility. I will illustrate through practical examples how such extensions can unlock a myriad of opportunities and applications.

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Total votes 5: ↑5 and ↓0 +5
Comments 0

AI-powered semantic search using pgvector and embeddings

Level of difficulty Medium
Reading time 9 min
Views 412

In the age of information, the ability to accurately and quickly retrieve data relevant to a user's query is paramount. Traditional search methodologies, which rely on keyword matching, often fall short when it comes to understanding the context and nuances of user queries. Semantic search, which seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms, has emerged as a solution to these limitations. However, implementing semantic search can be complex, involving advanced algorithms and understanding of natural language processing (NLP).

Existing solutions such as Elasticsearch and Solr have been at the forefront of tackling these challenges, providing platforms that support more nuanced search capabilities. These tools use a combination of inverted indices and text analysis techniques to improve search outcomes. Yet, the advent of machine learning and vector search technologies opens up new avenues for enhancing semantic search, with solutions like OpenAI's Embeddings API and the pgvector extension for PostgreSQL leading the charge.

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Total votes 1: ↑1 and ↓0 +1
Comments 0

Let's kill all frameworks at once

Level of difficulty Medium
Reading time 14 min
Views 6.1K

The general trend of technology development is characterized by surges and declines. Consider, for instance, the mass movement of human bodies. Initially, horses and wagons were used, which gradually evolved into a distinct industry. Then trains appeared abruptly. Horses were quickly forgotten, and the focus shifted to a new avenue. Steam became an object of study and evolved into a complex science. Diesel and electricity developed concurrently. At a certain point, steam engines became obsolete, and everyone transitioned to diesel and electricity. Similarly, we are now transitioning to electric cars that require significantly fewer fluids.

Technologies evolve and function until new technologies completely replace them. I believe we are entering an era where framework and Electron technologies may be eclipsed by generative AI. Let's examine some examples.

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Comments 8

AI for Software Business Analysis

Level of difficulty Easy
Reading time 5 min
Views 17K

Generative AI is creating waves in the way we work, significantly revolutionizing the software development process. AI tools are appearing in various phases of software development, such as design, development, and testing. However, there aren't many tools specifically focused on software business analysis tasks.

But with a little creative thinking, we can put "one-size-fits-all" applications like ChatGPT to good use. It can definitely speed up execution of many typical tasks and free up analysts to focus on the more challenging, strategic aspects of the job.

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Total votes 1: ↑1 and ↓0 +1
Comments 1

ChatGPT to Help You Become a 10x Programmer

Level of difficulty Easy
Reading time 2 min
Views 7K

I believe that every programmer has at least once heard about ChatGPT and its marvelous abilities to process, calculate and create huge amounts of data; if not, go check out this Wikipedia article - https://en.wikipedia.org/wiki/ChatGPT.

Can you imagine that some 50 years ago people could not even believe that there may be something artificial surpassing humans in so many areas? Nowadays, we have this marvel at the distance of a few tabs on a phone screen or a keyboard; however, there is still a sadly large number of people who do not fully—if at all— utilize all the perks of ChatGPT in their lines of work. This is mostly related either to people's reluctance to learn new technologies or the fear of losing coding skills they have previously gained—which is not the case with using ChatGPT properly.

In this article I want to give you some of the most useful uses of ChatGPT for your coding work. Remember, there is nothing shameful in using the AI, since this the development and further implementation of it in our day-to-day life is inevitable, so we should start adapting to it as early as we can to take the full advantage of this "magical" technology. Let's get started.

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Comments 5

Alpha Go && Alpha Go Zero

Reading time 3 min
Views 1.5K

Today I would like to discuss the games Chess and Go, the world's champions, algorithms and Al.

In 1997, a computer program developed by IBM Deep Blue defeated the world Chess champion Garry Kasparov. Go remained the last board game in which humans were still better than machines.

Why is that?

Chess is primarily distinguished from Go by the number of variations for each move. Chess, the game is more predictable with more structured rules: we have value for each figure (e.g bishop = 3 pawns, rook = 5 pawns -> rook > bishop), some kind of openings and strategies. Go, in turn, has incredibly simple rules, which creates the complexity of the game for the machine. Go is one of the oldest board games. Until recently, it was assumed that a machine was not capable of playing on an equal footing with a professional player due to the high level of abstraction and the inability to sort through all possible scenarios - exactly as many valid combinations in a game on a standard 19×19 go-ban are 10180 (greater than the number of atoms in the visible universe).

However, almost 20 years later, in 2015, there was a breakthrough. Google's Deep Mind company enhanced AlphaGo, which was the last step for the computer to defeat the world champions in board games. The AlphaGo program defeated the European champion and then, in March 2016 demonstrated a high level of play by defeating Lee Sedol, one of the strongest go players in the world, with a score of 4:1 in favour of the machine. A year later, Google introduced to the world a new version of AlphaGo - AlphaGoZero.

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Total votes 2: ↑2 and ↓0 +2
Comments 1

An introduction to the world of AI for designers

Level of difficulty Easy
Reading time 5 min
Views 1.4K

Every day a new neural network appears and every day more opportunities are opened to designers to simplify their workflow. Someone fundamentally refuses to use them, because “there is no life in machinex and technologies”, and someone is only happy to find a way to reduce the amount of work. Personally, I belong to the second type and want to share the most detailed gait on neurons I have acquired lately. 

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Total votes 1: ↑1 and ↓0 +1
Comments 0

SwiftUI & ChatGPT. The world is changing. Again

Level of difficulty Easy
Reading time 4 min
Views 2.8K

Everything that follows from this point forward input prompts, followed by ChatCGP’s responses, complete with sample code in Swift.

> Hey ChatGPT, can you make a SwiftUI registration form with name, address and city fields?

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Total votes 5: ↑4 and ↓1 +3
Comments 1

How Will Artificial Intelligence Influence Online Sports Betting?

Reading time 4 min
Views 2.5K

Online sports betting is a vertical of the gambling industry that has witnessed a massive surge in recent years. It is a great source of entertainment and thrill for online punters and bettors. Moreover, it also provides monetary benefits that are enough to entice the average layman. This is one of the most prominent reasons why people are gravitating towards these online sports betting platforms.

Additionally, the growing popularity of these platforms is urging sports betting software development companies to innovate and upgrade their platforms to cater to the growing needs of the user base. This is where Artificial Intelligence comes into the equation, AI has been at the forefront of innovations and development and has been offering users an enhanced user experience across multiple platforms. 

Artificial Intelligence technology has allowed Sports betting platforms to evolve with time and streamline their operations for better efficiency and enhanced productivity. This is why sports betting platforms all over the world are adopting this technology to offer better features and functionality to users and also increase their productivity and revenue. 

In this article, we will highlight how Artificial Intelligence has influenced the sports betting industry. So without further delay, let’s get started. 

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Data Phoenix Digest — ISSUE 2.2023

Reading time 2 min
Views 939

Video recording of our webinar about dstack and reproducible ML workflows, AVL binary tree operations, Ultralytics YOLOv8, training XGBoost, productionize ML models, introduction to forecasting ensembles, domain expansion of image generators, Muse, X-Decoder, Box2Mask, RoDynRF, AgileAvatar and more.

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Total votes 1: ↑1 and ↓0 +1
Comments 0

Building a GPT-like Model from Scratch with Detailed Theory and Code Implementation

Reading time 14 min
Views 33K

Unlock the power of Transformer Neural Networks and learn how to build your own GPT-like model from scratch. In this in-depth guide, we will delve into the theory and provide a step-by-step code implementation to help you create your own miniGPT model. The final code is only 400 lines and works on both CPUs as well as on the GPUs. If you want to jump straight to the implementation here is the GitHub repo.

Transformers are revolutionizing the world of artificial intelligence. This simple, but very powerful neural network architecture, introduced in 2017, has quickly become the go-to choice for natural language processing, generative AI, and more. With the help of transformers, we've seen the creation of cutting-edge AI products like BERT, GPT-x, DALL-E, and AlphaFold, which are changing the way we interact with language and solve complex problems like protein folding. And the exciting possibilities don't stop there - transformers are also making waves in the field of computer vision with the advent of Vision Transformers.

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Total votes 25: ↑25 and ↓0 +25
Comments 1

Important Role of Cryptocurrency in NFT Game Development

Reading time 5 min
Views 883

Most people assume crypto and NFT are the same but both are different. NFTs are based on blockchain platforms that allow the minting and exchange of cryptocurrencies of a specific type. The basic difference between crypto and NFTs is that two NFTs can not have equal value. Meanwhile one 1 crypto coin will be equal to one coin.

In this article, we will discuss NFT games, like why they are trending and what features and functions are making them more advanced than traditional games. As the demand for NFT based is increasing day by day, then you can also churn this opportunity by developing your own game with the help of a crypto app development company. 

Before diving in, let’s know about the blockchain and NFTs.

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Total votes 2: ↑0 and ↓2 -2
Comments 0

Exploring the Capabilities and Implications of ChatGPT 3 in the Educational Technology Field

Reading time 24 min
Views 5.2K

From language translation and virtual assistants to self-driving cars and personalized recommendations, AI has been a buzzword for a while now, but it seems that it is only now with the new ChatGPT 3 being released to the public that it is so close to revolutionizing the educational technology field as well. In this article, I would like to give my first impressions, test results, and insights on the new technology.

ChatGPT is a chatbot by OpenAI that can write texts, code, answer questions, and solve various problems. It can even write college essays that, although lacking heart and personal touch, are still pretty good.

It somehow reminds me of the times when distance learning started captivating different fields and what started as a tool for kids with special needs (about 15 years ago, it was a major theme in pedagogical universities, at least) turned into massive online open courses from top universities available to anyone with access to the internet. In corporate learning culture, it went from "e-learning is a cheap and less effective replacement for offline trainings" to being a part of a complicated educational system where we can have the best qualities of offline and online learning for employees.

Right away, serious discussions emerged on the threats to the usage of ChatGPT. Since the beginning of December, many educators have been giving their opinion on its ability to write essays, code, and find correct answers for tests and on the studying culture that will probably need to change.

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Comments 5

InvokeAI 2.2: UI Outpainting, Embedding Management and more

Reading time 2 min
Views 6K

InvokeAI 2.2 is now available to everyone. This update brings in exciting features, like UI Outpainting, Embedding Management and more. See highlighted updates below, or the full release notes for everything included in the release.

What’s new?
Total votes 5: ↑5 and ↓0 +5
Comments 2

I trained a neural network on my drawings and give the model for free (and teach you to create your own)

Reading time 2 min
Views 3.2K

Great for seamless patterns, abstract drawings, and watercolor-styled images. How to use it and train a neural network on your own pictures?

Download the model here: https://huggingface.co/netsvetaev/netsvetaev-free

I wanna know!
Total votes 6: ↑6 and ↓0 +6
Comments 0

How Yandex Made Their Biggest Improvement in the Search Engine with the Help of Toloka

Reading time 5 min
Views 2K

Toloka is a crowdsourcing platform and microtasking project launched by Yandex to quickly markup large amounts of data. But how can such a simple concept play a crucial role in improving the work of neural networks?

Learn how
Total votes 1: ↑1 and ↓0 +1
Comments 0

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