aishwaryanr / awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Why this job: name: awesome; topics: interview-questions, awesome-list, awesome
What it does
- AI Evals for Everyone (certified). 10 chapters on evaluating LLM and agentic systems.
- OpenClaw Mastery for Everyone (certified). a 10-day path to configure and run your own personal AI assistant.
- Agentic AI Crash Course. 10 parts on agents, tools, RAG, MCP, planning, memory, and multi-agent systems.
- Generative AI Genius. a no-math beginner introduction to generative AI.
- Applied LLMs Mastery (2024 edition). an 11-week foundational course, archived as a 2024 edition. Course website.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 7 days ago
- Stars
- 30,199
- +107 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- HTML
- 51% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 39 merged
- 6 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- HTML 51%
- Python 28%
- Jupyter Notebook 20%
- CSS 2%
Topics
- awesome
- awesome-list
- generative-ai
- interview-questions
- large-language-models
- llms
- notebook-jupyter
- vision-and-language
Project record
- JobLists and guides
- StatusListed
- Commits509
- Forks6,066
- Watching576
- Stars in 28 days+473
- CreatedFeb 6, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
