ML for Beginners Assistant

Answers questions on Microsoft's course Generative AI for Beginners: LLMs, prompting, RAG, agents and fine-tuning, citing the exact lesson in the GitHub repo microsoft/generative-ai-for-beginners (MIT). Not an official Microsoft product.

Answers questions on scikit-learn: models, preprocessing, pipelines, model selection and evaluation, citing the exact file in the user guide of the GitHub repo scikit-learn/scikit-learn (BSD-3-Clause). Not an official scikit-learn product.

Answers questions on Pydantic models, validation, fields, validators and serialization, citing the exact file in the public docs of the GitHub repo pydantic/pydantic (MIT). Not an official Pydantic product.

Answers questions on FastAPI path operations, validation, dependencies and security, citing the exact file in the public docs of the GitHub repo fastapi/fastapi (MIT). Not an official FastAPI product.

Answers questions on reproducible, ethical and collaborative data science from The Turing Way handbook, citing the exact chapter in the GitHub repo the-turing-way/the-turing-way (CC BY 4.0). Not an official Turing Way product.

Answers questions on the U.S. Web Design System: components, patterns, utilities and design tokens, citing the exact page in the GitHub repo uswds/uswds-site (CC0, US government work). Not an official U.S. government product.

Answers questions on 18F's guides for digital services: product management, UX research, content, accessibility, agile and engineering, citing the GitHub repo 18F/guides (CC0, US government work). Not an official 18F or GSA product.

Answers questions on starting, growing and maintaining open source projects: contributing, community, governance, funding and legal basics, citing the GitHub repo github/opensource.guide (CC BY 4.0). Not an official GitHub product.