Latest blog posts by Bartosz Chojnacki

Discover why deep learning is a powerful evolution of neural networks, not a replacement, and how knowing the difference helps you choose the right AI strategy for your business.

Discover, based on real-world experimental data, when to choose traditional Machine Learning over Deep Learning for better speed, efficiency, and ROI.

Read to discover when machine learning outperforms deep learning—and how to choose the right AI approach for your next project.

Read on to discover the crucial differences between generative and predictive AI, and learn how to choose the right technology to drive innovation and make strategic decisions in your business

DataRobot vs H2O.ai vs Google AutoML: compare features, pricing, and performance to choose the best AI and data analytics platform for your team.

No-code AI platforms let you build AI apps without writing a line of code. Compare the best tools of 2025 for speed, cost, and results before you commit.

In 2025, prompt engineering has evolved into a critical skill for turning AI agents into expert code generators. This article outlines ten advanced techniques—from recursive self-improvement and context-aware decomposition to multi-agent collaboration and domain-specific tuning—that dramatically enhance AI-generated code quality and efficiency. By mastering these methods, developers can leverage AI as powerful collaborators, transforming software development workflows and setting new standards for AI-assisted programming.

spaCy vs NLTK for NLP: compare speed, features, and ease of use to choose the right Python library for your natural language processing project.

Understand the Power of AI Agents vs. Pure LLMs

Discover 5 key predictions for generative AI in 2024, from customized chatbots and healthcare innovations to open-source AI, industry applications, and ethical regulations.