Latest blog posts by Bartosz Chojnacki

Neural networks vs deep learning: what separates them, what each one needs in data and maintenance, and how to pick the right approach 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.

IT leaders often mix up the two. Generative AI vs predictive AI: how they differ and how to choose the right approach for the business problem you face.

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.

Ten advanced prompt engineering techniques for AI agents that write code, from recursive self-improvement to multi-agent collaboration and domain tuning.

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

LLMs generate text, while AI agents act on it. How agents differ from pure LLMs and what that shift means for building more autonomous AI solutions.

Five generative AI predictions for 2024, from customized multimodal chatbots and healthcare uses to open-source models, industry adoption, and regulation.