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 application security from the OWASP Cheat Sheet Series: authentication, sessions, XSS, injection, secrets and more, citing the exact cheat sheet in the GitHub repo OWASP/CheatSheetSeries (CC BY-SA 4.0). Not official.

Answers questions on the GOV.UK Design System: components, patterns, styles and accessibility for public services, citing the exact page in the GitHub repo alphagov/govuk-design-system (MIT, OGL). Not an official GOV.UK product.

Answers questions on Coding Interview University, John Washam's study plan for software engineering interviews: topics, order, resources and practice, citing the GitHub repo jwasham/coding-interview-university (CC BY-SA 4.0).

Answers questions on prompting large language models: context, examples, structured output, tools and limitations, citing Brex's open Prompt Engineering Guide in the GitHub repo brexhq/prompt-engineering (MIT). Not an official Brex product.