https://github.com/joylarkin/my-ai-resource-list
A useful opinionated repository of Artificial Intelligence ecosystem resources - AI event calendars, papers, books, articles, videos, AI leaderboards, and much more.
https://github.com/joylarkin/my-ai-resource-list
agi ai ai-2025 ai-ecosystem ai-leaderboards ai-list ai-resources ai-tools api artificial-intelligence asi awesome-ai cerebral-valley documentation machine-learning ml prompts sdk
Last synced: 4 months ago
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A useful opinionated repository of Artificial Intelligence ecosystem resources - AI event calendars, papers, books, articles, videos, AI leaderboards, and much more.
- Host: GitHub
- URL: https://github.com/joylarkin/my-ai-resource-list
- Owner: joylarkin
- License: mit
- Created: 2023-11-27T03:49:46.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2026-02-10T06:03:17.000Z (4 months ago)
- Last Synced: 2026-02-10T12:09:54.043Z (4 months ago)
- Topics: agi, ai, ai-2025, ai-ecosystem, ai-leaderboards, ai-list, ai-resources, ai-tools, api, artificial-intelligence, asi, awesome-ai, cerebral-valley, documentation, machine-learning, ml, prompts, sdk
- Homepage:
- Size: 155 KB
- Stars: 17
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# My-AI-Resource-List [](https://deepwiki.com/joylarkin//My-AI-Resource-List) 
MCP Server → https://gitmcp.io/joylarkin/My-AI-Resource-List
## Featured AI Resources
- [Jeremy Howard - The /llms.txt file](https://llmstxt.org/)
A proposal to standardize on using an /llms.txt file to provide information to help LLMs use a website at inference time.
- [Artificial Analysis](https://artificialanalysis.ai/)
Timely AI industry insights and benchmarks.
## AI Event Calendars
- [Cerebral Valley Events - SF & Bay Area, New York City, Boston, Seattle, London, Remote](https://cerebralvalley.ai/events)
- [lu.ma - AI](https://lu.ma/ai)
- [AIhub - Events](https://aihub.org/events/)
- [Confs.tech - Data/AI](https://confs.tech/?online=hybrid&topics=data)
- [Conference Locate - Global Artificial Intelligence Events](https://www.clocate.com/conferences-on+artificial-intelligence-ai/c3UtMTQ4/)
## AI Event Calendars By Locale
- [lu.ma - Discover](https://lu.ma/discover)
- [Generative AI San Francisco and Bay Area](https://lu.ma/genai-sf)
- [Meetup - Artificial Intelligence](https://www.meetup.com/find/?source=EVENTS&keywords=artificial%20intelligence&location=us--ca--San%20Francisco)
- [Eventbrite - Artificial Intelligence](https://www.eventbrite.com/d/ca--san-francisco/artificial-intelligence/)
## LLM Search Optimization For Companies
- [harlan-zw / mdream - ☁️ Convert any site to clean markdown & llms.txt](https://github.com/harlan-zw/mdream)
- [Profound Brand Optimization](https://www.tryprofound.com)
- [Athena AI](https://www.athenahq.ai/)
## AI Market Maps - 2025 & 2024
- [joylarkin / Awesome-AI-Market-Maps](https://github.com/joylarkin/Awesome-AI-Market-Maps)
## AI Industry
- [KPMG - KPMG AI Quarterly Pulse Survey Q1 2025](https://kpmg.com/us/en/media/news/q1-ai-pulse-2025.html)
## AI and Governments
- [EU - Explanatory Notice and Template for the Public Summary of Training Content for general-purpose AI models - July 2025](https://digital-strategy.ec.europa.eu/en/library/explanatory-notice-and-template-public-summary-training-content-general-purpose-ai-models)
- [US - AI Action Plan - July 2025](https://www.ai.gov/action-plan)
- [Canada - AI Strategy for the Federal Public Service 2025-2027: Priority areas - June 2025](https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/responsible-use-ai/gc-ai-strategy-priority-areas.html)
- [European Commission - AI Act - June 2025](https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai)
- [France - IA : une nouvelle impulsion pour la stratégie nationale - February 2025](https://www.info.gouv.fr/actualite/ia-une-nouvelle-impulsion-pour-la-strategie-nationale)
- [United Kingdom - Artificial Intelligence Playbook for the UK Government - February 2025](https://www.gov.uk/government/publications/ai-playbook-for-the-uk-government/artificial-intelligence-playbook-for-the-uk-government-html)
- [ASEAN - Expanded ASEAN Guide on AI Governance and Ethics – Generative AI - January 2025](https://asean.org/book/expanded-asean-guide-on-ai-governance-and-ethics-generative-ai/)
- [Malaysia - AI City Initiative: Cities Beyond Smart](https://mdec.my/ai-city)
- [Australia - Policy for the responsible use of AI in government - September 2024](https://www.digital.gov.au/policy/ai/policy)
## AI Conference Paper Deadlines
- [Hugging Face - AI Conference Deadlines](https://huggingface.co/spaces/huggingface/ai-deadlines)
## AI Papers
- [Nathan Lambert - Reinforcement Learning from Human Feedback - A short introduction to RLHF and post-training focused on language models](https://rlhfbook.com/)
- [The 2025 AI Engineering Reading List](https://latent.space/p/2025-papers)
- [dzyim / ilya-sutskever-recommended-reading](https://github.com/dzyim/ilya-sutskever-recommended-reading)
## AI Books
- [Google DeepMind - How to Think About GPUs](https://jax-ml.github.io/scaling-book/gpus/)
- [Google DeepMind - How to Scale Your Model - A Systems View of LLMs on TPUs](https://jax-ml.github.io/scaling-book/)
- [Hands-On Large Language Models](https://github.com/HandsOnLLM/Hands-On-Large-Language-Models)
- [Chip Huyen - AI Engineering](https://github.com/chiphuyen/aie-book)
## AI Articles
- [Florian Brand - Local models are (not) cope - October 2025](https://florianbrand.de/posts/local-llms)
- [Julian Schrittwieser - Failing to Understand the Exponential, Again - September 2025](https://www.julian.ac/blog/2025/09/27/failing-to-understand-the-exponential-again/)
- [Fang, Han and Sankararaman, Karthik Abinav - Post-training 101: A hitchhiker's guide into LLM post-training - September 2025](https://tokens-for-thoughts.notion.site/post-training-101)
- [OpenAI - Why language models hallucinate - September 2025](https://openai.com/index/why-language-models-hallucinate/)
- [Mistral AI - Our contribution to a global environmental standard for AI - July 2025](https://mistral.ai/news/our-contribution-to-a-global-environmental-standard-for-ai)
- [Ethan Mollick - Using AI Right Now: A Quick Guide - June 2025](https://www.oneusefulthing.org/p/using-ai-right-now-a-quick-guide)
- [Anthropic - How we built our multi-agent research system](https://www.anthropic.com/engineering/built-multi-agent-research-system)
- [Cobus Greyling - 5 Levels Of AI Agents (Updated)](https://medium.com/@cobusgreyling/5-levels-of-ai-agents-updated-0ddf8931a1c6)
- [Ethan Mollick - Prophecies of the Flood - What to make of the statements of the AI labs?](https://www.oneusefulthing.org/p/prophecies-of-the-flood)
- [ARC Prize - OpenAI o3 Breakthrough High Score on ARC-AGI-Pub](https://arcprize.org/blog/oai-o3-pub-breakthrough)
- [Cameron Wolfe - Understanding and Using Supervised Fine-Tuning (SFT) for Language Models](https://cameronrwolfe.substack.com/p/understanding-and-using-supervised)
## Open Source AI
- [Jan - Open source ChatGPT alternative that runs offline](https://www.jan.ai/)
- [intellectronica / oss-ai-swe - Open Source AI Software Craft](https://oss-ai-swe.org/)
- [Hugging Face Blog - Open Source Developers Guide to the EU AI Act](https://huggingface.co/blog/eu-ai-act-for-oss-developers)
## AI Videos
- [Andrej Karpathy - Intro to Large Language Models](https://www.youtube.com/watch?v=zjkBMFhNj_g)
- [Andrej Karpathy - Deep Dive into LLMs like ChatGPT](https://www.youtube.com/watch?v=7xTGNNLPyMI)
- [3blue1brown - How might LLMs store facts | Deep Learning Chapter 7](https://www.youtube.com/watch?v=9-Jl0dxWQs8)
## AI Courses
- [AI for Everyone - Coursera](https://www.coursera.org/learn/ai-for-everyone)
- [Reasoning with o1 - DeepLearning.AI](https://www.deeplearning.ai/short-courses/reasoning-with-o1/)
- [Generative AI Explained - NVIDIA Deep Learning Institute](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-07+V1)
- [NLPfor.me 🔠⚡🤖🧠😃 - A Pay-What-You-Can (PWYC) Microcourse in Natural Language Processing](https://github.com/nlpfromscratch/nlpfor.me)
## AI Labs
- [List of AI Labs](https://github.com/joylarkin/My-AI-Resource-List/blob/main/AI-Labs.md)
## AI Models
- [uncbiag / Awesome-Foundation-Models](https://github.com/uncbiag/Awesome-Foundation-Models)
- [together.ai - Which LLM is best for my use case?](https://whichllm.together.ai/)
## AI Agents
- [The AI Agent Index - Documenting the technical and safety features of deployed agentic AI systems](https://aiagentindex.mit.edu/)
## AI For Policymakers
- [Stanford HAI - Validating Claims About AI: A Policymaker’s Guide - September 2025](https://hai.stanford.edu/policy/validating-claims-about-ai-a-policymakers-guide)
## AI Evals
- [OpenAI - Measuring the performance of our models on real-world tasks - September 2025](https://openai.com/index/gdpval/)
- [OpenAI - OpenAI Evals](https://evals.openai.com/)
## AI Leaderboards
- [OpenRouter - LLM Leaderboard](https://openrouter.ai/rankings)
- [Artificial Analysis](https://artificialanalysis.ai/)
- [Epoch AI - Notable AI Models](https://epoch.ai/data/notable-ai-models)
- [Chatbot Arena Leaderboard](https://lmarena.ai/?leaderboard)
- [WebDev Arena Leaderboard](https://web.lmarena.ai/leaderboard)
- [General Reasoning Leaderboard](https://gr.inc/leaderboard/)
- [Epoch AI - AI Benchmarking Hub](https://epoch.ai/data/ai-benchmarking-dashboard)
- [Epoch AI - Large Scale AI Models](https://epoch.ai/data/large-scale-ai-models)
- [Epoch AI - Machine Learning Hardware](https://epoch.ai/data/machine-learning-hardware)
- [Vectara - Hallucination Leaderboard](https://github.com/vectara/hallucination-leaderboard)
- [Galileo Agent Leaderboard v2 - Comprehensive performance metrics for LLM agents across business domains](https://huggingface.co/spaces/galileo-ai/agent-leaderboard)
- [HAL: Holistic Agent Leaderboard - The standardized, cost-aware, and third-party leaderboard for evaluating agents.](https://hal.cs.princeton.edu/)
- [ML.ENERGY Leaderboard - How much energy do GenAI models consume?](https://ml.energy/leaderboard/)
- [Rosebud - CARE (Crisis Assessment and Response Evaluator)](https://www.rosebud.app/care)
- [VCBench - The first standardized benchmark for founder-success prediction in venture capital](https://www.vcbench.com/)
- [SWE-Bench Pro (Commercial Dataset) - New benchmark for software engineering AI agents](https://scale.com/leaderboard/swe_bench_pro_commercial)
## Assorted Helpful Prompting Guides
- [Google - Prompting guide and strategies - Gemini 2.5 Flash Image](https://ai.google.dev/gemini-api/docs/image-generation#prompt-guide)
- [OpenAI - GPT-5 Prompting Guide](https://cookbook.openai.com/examples/gpt-5/gpt-5_prompting_guide)
- [OpenAI - GPT-5 Prompt Optimizer - For logged in users](https://platform.openai.com/chat/edit?models=gpt-5&optimize=true)
- [Lee Boonstra — Google - Prompt Engineering v7](https://drive.google.com/file/d/1AbaBYbEa_EbPelsT40-vj64L-2IwUJHy/view)
- [Browser Use - Awesome Prompts](https://github.com/browser-use/awesome-prompts?tab=readme-ov-file)
- [Instructor - Advance Prompting Techniques](https://python.useinstructor.com/prompting/)
## Assorted Helpful AI Tools
- [Co-STORM - Get a Wikipedia-like report on your topic with AI](https://storm.genie.stanford.edu/)
- [Exa - Websets Search](https://websets.exa.ai/)
- [Gemini by Example](https://geminibyexample.com/)
- [Mastra - The MCP Registry Registry](https://mastra.ai/mcp-registry-registry)
- [GitMCP - Instantly create a Remote MCP server for any GitHub repository](https://gitmcp.io/)
- [DeepWiki - An AI-Powered Guide to GitHub Repositories](https://deepwiki.com)
- [Exa - Exa MCP Server - MCP server using the Exa AI Search API for web searches.](https://github.com/exa-labs/exa-mcp-server)
- [Convergence.ai Proxy - Your AI assistant for daily web tasks](https://convergence.ai/)
- [Xeophon - OpenRouter & HuggingFace Tool Support Matrix](https://xeophon.github.io/openrouter-tool-check/)
- [HuggingFace - Sheets - AI-powered spreadsheets](https://huggingface.co/spaces/aisheets/sheets)
- [firecrawl.dev - Power your AI apps with clean data crawled from any website](https://www.firecrawl.dev/)
- [nibzard / Awesome Agentic Patterns](https://agentic-patterns.com/)
- [modelcontextprotocol / Ecosystem Vision](https://github.com/modelcontextprotocol/registry/blob/main/docs/explanations/ecosystem-vision.md)
## Incredibly Cool AI Projects
- [ZüriCityGPT - Chatbot designed to answer questions about Zürich, built with the Apertus 70b Swiss OSS LLM](https://oss.zuericitygpt.ch/)