Data Science Tutorials

Discover AI-native workflow automation with Gumloop. Compare it to n8n and Zapier, and build your first LLM-powered research agent with this hands-on guide.

A hands-on Python guide to ByteDance's Seedream 4.5 image model covering batch generation, text rendering, multi-image editing, and prompting best practices.

Learn how to create a GraphQL API with TypeScript and MongoDB, a combination that is not only efficient, but extremely easy to work with.

Learn how to use GLM-Image from Z.ai to generate a complete infographic slide deck from a single prompt.

Learn how to run DeepSeek OCR-2 locally with vLLM and build an incremental PDF Q&A system that performs mini-batch OCR, FAISS-based retrieval, and real-time querying with a Gradio interface.

See how increasing model complexity reduces bias but increases variance, creating an unavoidable tension between underfitting and overfitting that determines whether your model generalizes to new data.

A guide to Project Genie and Genie 3, Google’s interactive foundation world model, with hands-on examples.

Run GLM-5, the best open-weight AI model, on a single GPU with llama.cpp, and connect it to Aider to turn it into a powerful local coding agent.

Discover Kling 3.0 and its key features. Learn how to generate videos, create your own characters, and craft complex multi-shot scenes with native audio.

Master the inner workings of LSTM networks, the foundation for modern LLMs. Explore gating mechanisms, gradients, and build a sentiment classifier with PyTorch.

Learn how Parquet's columnar design improves compression, speeds up queries, and when to choose it over CSV.

Help your AI agent become more social by joining Moltbook, with this step-by-step visual guide to getting it set up, verified, and posting safely.