# InterviewReady/ai-engineering-resources

Research papers and blogs to transition to AI Engineering

Repository: https://github.com/InterviewReady/ai-engineering-resources
Canonical: https://ross.abutalabs.com/products/ai-engineering-resources
Homepage: https://interviewready.io
License Family: other
Topics: ai, llm, transformer
Last push: 2025-11-19T04:14:19+00:00

## Health v2 (maintenance only)
Score: 43/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 53, release rhythm 35, longevity 34
- inputs: {"age_days": 477, "days_push": 287, "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 2633, forks 412 (observed 2026-08-28T04:07:06.139285+00:00)

## What it is
A curated collection of research papers and blog posts to help software engineers transition into AI engineering. It organizes foundational and cutting-edge papers across tokenization, embeddings, transformer architecture, RLHF, reasoning, and infrastructure.

## Use cases
- learn ai engineering from research papers
- find papers on transformers and attention
- study rlhf and chain-of-thought reasoning
- reading list for transitioning from software to ai engineering
- understand llm architecture fundamentals
- learn about vector databases and embeddings

## When to choose
- you are a software engineer wanting a structured path into AI engineering
- you want a curated, topic-organized list of foundational LLM papers
- you prefer learning from primary sources like arXiv papers

## When to avoid
- you need hands-on tutorials or runnable code
- you want beginner-friendly explanations rather than research papers
- you need a comprehensive course with exercises

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, llm-training, rag, prompt-engineering
- domain: large-language-models, machine-learning, deep-learning, tutorials
- platform: cross-platform
- tags: research-papers, reading-list, ai-engineering, transformers, career-transition, curated-list

## Member repositories
- InterviewReady/ai-engineering-resources (main) score 43

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:06.139285+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 2026-08-30T02:19:34.897049+00:00, confidence not recorded.
  - readme: https://github.com/InterviewReady/ai-engineering-resources (fetched 2026-08-28T04:07:06.139285+00:00, sha d6e1723d6d26)
- Data as of 2026-08-30T08:39:29.467469+00:00.