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.

A comprehensive walkthrough of building, deploying, and optimizing Streamlit apps directly within Snowflake. Leverage the popular open-source Python framework through its integration with a powerful cloud platform.