Tutorial

before LLMs became hyped, there was an separating Machine Learning frameworks from Deep Learning frameworks. The talk was targeting Scikit-Learn, XGBoost, and similar for ML, while PyTorch and TensorFlow dominated the scene...

If with Python for data, you may have probably experienced the frustration of waiting minutes for a Pandas operation to complete. At first, the whole lot seems high quality, but as your dataset grows...

Context Engineering by now. This text will cover the important thing ideas behind creating LLM applications using Context Engineering principles, visually explain these workflows, and share code snippets that apply these concepts practically. Don’t...

What's synthetic data? Data created by a pc intended to duplicate or augment existing data. Why is it useful? We've all experienced the success of ChatGPT, Llama, and more recently, DeepSeek. These language models are getting used...

As a Developer Advocate, it’s difficult to maintain up with user forum messages and understand the massive picture of what users are saying. There’s loads of priceless content — but how will you quickly...

Have you ever gathered all of the relevant data?Let’s assume your organization has provided you with a transactional database with sales of various products and different sale locations. This data is named panel data,...

with Ollama, LangChain, LangGraph (No GPU, No APIKEY)(All images are by the writer unless otherwise noted)IntroPrompt Engineering is the practice of designing and refining prompts (text inputs) to boost the behavior of Large Language...

3D ReconstructionQuickly learn to create 3D models from photos, and master point cloud generation with Python + Meshroom (photogrammetry).You will have heard of image-based 3D reconstruction from previous articles I wrote. This can be...