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freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More

Browse thousands of programming tutorials written by experts. Learn Web Development, Data Science, DevOps, Security, and get developer career advice.

Smashing Magazine — For Web Designers And Developers

Magazine on CSS, JavaScript, front-end, accessibility, UX and design. For developers, designers and front-end engineers.

요즘IT

요즘 사람들의 IT 매거진, 요즘IT

freeCodeCamp

freecodecamp.org

A Non-Technical Introduction to Generative AI

If you want to learn about the concepts around generative AI without getting bogged down with the technical details, we have a great course for you. We just published a course on the freeCodeCamp.org YouTube channel that is a non-technical intro to g...

The Generative AI Handbook – How GenAI is Impacting Business and Innovation

The emergence of Generative Artificial Intelligence (GenAI) is both shaping the future of innovation management and revolutionizing it. This handbook delves into the groundbreaking research presented in 'Generative Artificial Intelligence in Innovation Management: A Preview of Future Research Developments' by Marcello Mariani and Yogesh K. Dwivedi (2024). It's a...

How to Create a ML Model with Azure Machine Learning Designer

Did you know that you can create machine learning models without writing any code? If you’re here, you’re probably curious about how to achieve this. In this article, I will guide you through building a regression model that predicts automobile prices using Azure Machine Learning’s Low-Code/No-Code tools. Regression is...

How to Build a RAG Chatbot with Agent Cloud and Google Sheets

Today's companies are data factories. Every interaction, transaction, and internal process generates a constant stream of information. This data holds immense value, promising to improve decision-making, streamline operations, and unlock deep customer insights. But data often remains siloed and inaccessible. It may be spread across different departments and systems...

How Does Knowledge Distillation Work in Deep Learning Models?

Deep learning models have transformed several industries, including computer vision and natural language processing. However, the rising complexity and resource requirements of these models have motivated academics to look into ways to condense their knowledge into more compact and efficient forms. Knowledge distillation, a strategy for transferring knowledge from a...

How to Build a Quantum Artificial Intelligence Model – With Python Code Examples

Machine learning (ML) is one of the most important subareas of AI used in building great AI systems. In ML, deep learning is a narrow area focused solely on neural networks. Through the field of deep learning, systems like ChatGPT and many other AI models can be created. In other...

How to Build an Interpretable Artificial Intelligence Model – Simple Python Code Example

Artificial Intelligence is being used everywhere these days. And many of the groundbreaking applications come from Machine Learning, a subfield of AI. Within Machine Learning, a field called Deep Learning represents one of the main areas of research. It is from Deep Learning that most new, truly effective AI systems...

How Do Generative Models Work in Deep Learning? Generative Models For Data Augmentation Explained

Data is at the heart of model training in the world of deep learning. The quantity and quality of training data determine the effectiveness of machine learning algorithms. On the other hand, obtaining massive amounts of precisely categorized data is a difficult and resource-intensive operation. This is where data...

Prompt Engineering Basics – How to Write Effective AI Prompts

Thanks to the popularity of various Large-Language Models like ChatGPT, prompt engineering has become a key skill for developers (and non-developers) to have. It's important if you want to be able to tap into the full potential of these models. Whether you're a developer, researcher, or general user, knowing how...

How to Build a Quantum AI Model for Predicting Iris Flower Data with Python

Machine learning is an area of AI where the likes of ChatGPT and other famous models were created. These systems were all created with neural networks. The field of machine learning that deals with the creation of these neural networks is called deep learning. In this blog post, we'll...

How to Future-Proof Your Software Engineering Career for the Age of AGI

In the viral essay The Decade Ahead, Leopold Aschenbrenner predicts that Artificial General Intelligence (AGI) will be a reality in only a few years. But what exactly is AGI, and how does it differ from the AI we have today? AGI refers to a type of a...

How to Build an AI Chatbot with Spring AI, React, and Docker

Hey Java developers, I’ve got good news: Spring now has official support for building AI applications using the Spring AI module. In this tutorial, we’ll build a chatbot application using Spring Boot, React, Docker, and OpenAI. This app will let user...

How AI Tools Can Help You Reuse Code

Reusing code is an important part of software development. Instead of writing the same code again and again, developers can save time and effort by using code that already works. This not only speeds up the development process but also helps improve ...

End-to-End Machine Learning Course Project

If you want to improve your skills in machine learning and MLOps, we have a great course for you. We just posted a comprehensive End-to-End Machine Learning course on the freeCodeCamp.org YouTube channel. It is designed to equip you with both foundat...

Smashing Magazine — For Web Designers And Developers

smashingmagazine.com

How To Harness Mouse Interaction Data For Practical Machine Learning Solutions

In this article, Eduard Kuric discusses mouse interaction data, what kind of magic can be done with it, and some of the hidden pitfalls to watch out for so you get a head start incorporating them in your solutions.

요즘IT

yozm.wishket.com

AI 전성시대, CPU 아닌 GPU가 주목받는 이유 | 요즘IT

AI 전성시대, CPU 아닌 GPU가 주목받는 이유

‘머신러닝’ 기초 지식 톺아보기 | 요즘IT

‘머신러닝’ 기초 지식 톺아보기

인공지능은 정말로 과대평가 되었을까 | 요즘IT

인공지능은 정말로 과대평가 되었을까

생성형 AI 만난 ‘시리’는 어떻게 똑똑해질 수 있을까? | 요즘IT

생성형 AI 만난 ‘시리’는 어떻게 똑똑해질 수 있을까?

B2B 시장에서는 어떤 AI 서비스가 통할까?

생성형 AI 기술의 발전과 함께 사용자들의 이목을 사로잡는 서비스가 연일 등장하고 있습니다. 이런 생성형 AI 서비스의 지향점을 바꾸는 결정적인 차이가 어디서 생기는지 아시나요? 그 중 하나는 바로 최종 고객이 일반 사용자(B2C)인지, 혹은 기관(B2B)인지 차이입니다. 엔터프라이즈용 생성형 AI 서비스를 설계하고 개발할 때에는 일반적인 B2C 생성형 AI 서비스와는 다른 관점으로 접근할 필요가 있습니다. 주로 B2B 서비스와 관련된 일을 하는 엔지니어인 제 경험을 살려 B2B 생성형 AI 서비스의 기술적인 특징을 알아보겠습니다.