# jacobhilton/deep_learning_curriculum

Language model alignment-focused deep learning curriculum

Repository: https://github.com/jacobhilton/deep_learning_curriculum
Canonical: https://ross.abutalabs.com/products/deep_learning_curriculum
License Family: other
Last push: 2024-08-19T18:02:01+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1513, "days_push": 744, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1686, forks 123 (observed 2026-08-28T04:05:22.154040+00:00)

## What it is
An advanced deep learning curriculum focused on large language model alignment, written by a researcher as of July 2022. It is a curated reading/study guide for people with a strong quantitative background, not a software tool.

## Use cases
- learn deep learning for LLM alignment research
- find a structured self-study path for advanced deep learning
- study curriculum for transitioning into AI safety research
- get up to speed on recent deep learning developments
- find mentorship-friendly study material for ML

## When to choose
- you already know basic deep learning and math prerequisites
- you want a curated, research-oriented reading list on LLM alignment
- you have a mentor or study partner to work through it with

## When to avoid
- you are a complete beginner to machine learning
- you need up-to-date content covering post-2022 developments
- you want interactive exercises or runnable code rather than a reading list

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, llm-training
- domain: deep-learning, large-language-models, tutorials, artificial-intelligence
- platform: cross-platform
- tags: curriculum, alignment, self-study, education

## Member repositories
- jacobhilton/deep_learning_curriculum (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:22.154040+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:38:58.846108+00:00, confidence not recorded.
  - readme: https://github.com/jacobhilton/deep_learning_curriculum (fetched 2026-08-28T04:05:22.154040+00:00, sha f530573bcbbd)
- Data as of 2026-08-30T08:39:29.467469+00:00.