everything-ai

Welcome to the AI & Generative AI Master Collection!

Hey there! 👋 If you’re curious about AI & Generative AI—from building your first model to mastering techniques—you’re in the right place. I’ve put together this collection to help you navigate the ever-evolving world of Gen AI without getting lost in the shuffle.

This page is like a roadmap: each section offers handpicked resources to build your skills and deepen your understanding. No matter where you are in your journey, there's something here for you.

Jump Right In 🚀

🎓 Courses, Tutorials & Certifications

Course Name	Platform/Institution	Mode	Instructor(s)	Level	Duration	Cost	URL
AI For Everyone	Coursera	Online	Andrew Ng	01- Beginner	~10 hours	Free (Audit) / $49	AI For Everyone
Introduction to Generative AI	Coursera	Online	Google Cloud Training Team	01- Beginner	~1 hour	Free	Introduction to Generative AI
Generative AI Fundamentals	Coursera	Online	IBM	01- Beginner	~3 months	Free (Audit) / $49/month	Generative AI Fundamentals
Generative AI for Everyone	Coursera	Online	DeepLearning.AI	01- Beginner	~4 weeks	Free (Audit) / $49	Generative AI for Everyone
AI Foundations for Everyone	Coursera	Online	IBM	01- Beginner	~3 months	Free (Audit) / $49/month	AI Foundations for Everyone
Generative AI for Software Development	Coursera	Online	DeepLearning.AI	01- Beginner	~3 months	Free (Audit) / $49/month	Generative AI for Software Development
Generative AI Leadership & Strategy	Coursera	Online	Vanderbilt University Faculty	01- Beginner	~3 months	Free (Audit) / $49/month	Generative AI Leadership & Strategy
Generative AI Automation	Coursera	Online	Vanderbilt University Faculty	01- Beginner	~3 months	Free (Audit) / $49/month	Generative AI Automation
Introduction to Generative AI Learning Path	Coursera	Online	Google Cloud Training Team	01- Beginner	~8.5 hours	Free	Introduction to Generative AI Learning Path
Artificial Intelligence Tutorial	Tutorialspoint	Online	Tutorialspoint Team	01- Beginner	Self-paced	Free	Artificial Intelligence Tutorial
Artificial Intelligence Tutorial	Javatpoint	Online	Javatpoint Team	01- Beginner	Self-paced	Free	Artificial Intelligence Tutorial
Artificial Intelligence Tutorial	GeeksforGeeks	Online	GeeksforGeeks Team	01- Beginner	Self-paced	Free	Artificial Intelligence Tutorial
AI for Beginners	Microsoft	Online	Microsoft Team	01- Beginner	Self-paced	Free	AI for Beginners
Generative AI for Beginners	Microsoft	Online	Microsoft Team	01- Beginner	Self-paced	Free	Generative AI for Beginners
Introduction to Generative AI	Google Cloud	Online	Google Cloud Training Team	01- Beginner	~45 minutes	Free	Introduction to Generative AI
Generative AI Handbook: A Roadmap for Learning Resources	GitHub	Online	Community Contributors	01- Beginner	Self-paced	Free	Generative AI Handbook
Learn Artificial Intelligence	Hackr.io	Online	Various Instructors	01- Beginner	Self-paced	Free/Paid	Learn Artificial Intelligence
Convolutional Neural Networks for Visual Recognition (CS231n)	Stanford University	Video Lectures	Fei-Fei Li, Justin Johnson, Serena Yeung	01- Beginner	10 weeks	Free	CS231n
Introduction to Artificial Intelligence (CS188)	UC Berkeley	Video Lectures	Pieter Abbeel, Dan Klein	01- Beginner	14 weeks	Free	CS188
Introduction to Reinforcement Learning	DeepMind	Video Lectures	David Silver	01- Beginner	10 weeks	Free	Introduction to Reinforcement Learning
Natural Language Processing with Deep Learning (CS224N)	Stanford University	Video Lectures	Christopher Manning, Richard Socher	01- Beginner	10 weeks	Free	CS224N
Deep Learning	New York University	Video Lectures	Yann LeCun	01- Beginner	14 weeks	Free	Deep Learning
Introduction to Deep Learning	MIT	Video Lectures	Alexander Amini, Wojciech Matusik	01- Beginner	8 weeks	Free	Introduction to Deep Learning
Mathematics for Machine Learning	Coursera / Imperial College	Online Course	David Dye, Sam Cooper	01- Beginner	3 months	Paid	Mathematics for Machine Learning
Data Science and Machine Learning Bootcamp with R	Udemy	Self-paced	Jose Portilla	01- Beginner	10 hours	Paid	Data Science and Machine Learning Bootcamp with R
Complete Machine Learning and Data Science Bootcamp with Python	Udemy	Self-paced	Multiple Instructors	01- Beginner	44 hours	Paid	Complete Machine Learning and Data Science Bootcamp with Python
Deep Learning Specialization	Coursera	Online	Andrew Ng	02- Intermediate	~3 months	Free (Audit) / $49/month	Deep Learning Specialization
Generative AI for Product Managers	Coursera	Online	IBM	02- Intermediate	~3 months	Free (Audit) / $49/month	Generative AI for Product Managers
Generative AI for Data Scientists	Coursera	Online	IBM	02- Intermediate	~3 months	Free (Audit) / $49/month	Generative AI for Data Scientists
Generative AI for Data Analysts	Coursera	Online	IBM	02- Intermediate	~3 months	Free (Audit) / $49/month	Generative AI for Data Analysts
Machine Learning	Coursera	Online	Andrew Ng	02- Intermediate	~11 weeks	Free (Audit) / $49	Machine Learning
Generative AI Full Course	YouTube	Online	freeCodeCamp	02- Intermediate	~30 hours	Free	Generative AI Full Course
Machine Learning Specialization	Coursera / Stanford	Online Course	Andrew Ng	02- Intermediate	Varies	Paid	Machine Learning Specialization
Data Science: Machine Learning	edX / Harvard	Online Course	Rafael Irizarry	02- Intermediate	8 weeks	Paid	Data Science: Machine Learning
Machine Learning	Coursera / University of Washington	Online Course	Emily Fox, Carlos Guestrin	02- Intermediate	8 weeks	Paid	Machine Learning
Deep Unsupervised Learning (CS294)	UC Berkeley	Video Lectures	Pieter Abbeel	03 - Advanced	14 weeks	Free	CS294
Deep Multi-Task and Meta Learning (CS330)	Stanford University	Video Lectures	Chelsea Finn	03 - Advanced	10 weeks	Free	CS330

💰 Grants, Accelerators & Credits

Name	URL	Extended by	Grant Amount	Location
AI Grant — accelerator for seed-stage AI startups	AI Grant	Hersh Desai, Lenny Bogdonoff, Luke Farritor, Asara Near, Nat Friedman, Daniel Gross	$250,000 on an uncapped SAFE for your AI-native product startup $350,000 in Azure credits + $250,000 in additional credits"	Anywhere
AIRISE by European Union	AIRISE	European Union	Up to €60,000	Europe
Superalignment Fast Grants	Superalignment Fast Grants	OpenAI	$100K-$2M grants for academic labs, nonprofits, and individual researchers	Anywhere
Anthology Fund	Anthology Fund	Anthropic	Funding over $100k $25,000 in free Anthropic credits	Anywhere
Together AI Studio	Together AI Studio	Together AI	$500k to $5M, $600K in credits	Anywhere
Llama Impact Grants	Llama Impact Grants	Meta	$500K	Anywhere
Upekkha	Upekkha	Upekkha	$125k investment for 7% equity $700k in partner credits	Anywhere
Akamai (Linode)	Akamai (Linode)	Linode	Up to $120k in credits	Anywhere
SBIR/STTR Program	SBIR/STTR Program	NASA	Up to $1 million during first three years, plus up to nearly $3 million or more through Post Phase II opportunities	US
America's Seed Fund (NSF)	America's Seed Fund	NSF	Up to $275,000 in non-dilutive funding for R&D, Phase I - $1,000,000, Phase II - $500,000	US
Retool	Retool	Retool	$25k in Retool credits	Anywhere
Hessian AI	Hessian AI	Hessian AI	Varies	Germany
HF0	HF0	HF0	$500,000 for 2.5% equity	Anywhere
Accel	Accel	Accel	Investment of up to $500k $250k in GCP credits $150k in Azure credits 25 Microsoft 365 seats for 1 year Up to $100K in AWS credits	UAE, India, Singapore, Indonesia
AI2 Incubator	AI2 Incubator	AI2 Incubator	$90,000 on Day 1 Up to $500,000 seed Up to $450,000 in cloud credits	Anywhere
The House AI Accelerator	The House AI Accelerator	UC Berkeley (for Alumni)	$1M in funding and up to $750k in perks	UC Berkeley
Microsoft Azure	Microsoft Azure	Microsoft	$150,000 Azure Credits	Anywhere
Google Cloud	Google Cloud	Google	$350,000 GCP credits over 2 years	Anywhere
AWS Generative AI Accelerator	AWS Generative AI Accelerator	AWS	$100K-$300k in AWS Credits	Anywhere
Conviction Embed	Conviction Embed	Embed	$150,000 uncapped, no-discount MFN SAFE $350,000 Azure Credits $50,000 OpenAI, Anthropic, Baseten credits	US

🤝 Fellowships

Name	URL	Cost	Duration	Platform/Institution	Mode	Level	Grant Amount
DeepMind Fellowship	DeepMind Fellowship	Free	12 months	DeepMind	In-person	Advanced	Varies
Google Research PHD Fellowship	Google Research PHD Fellowship	Free	12 months	Google	In-person	Advanced	Varies
Stanford Graduate Fellowships	Stanford Graduate Fellowships	Varies	Varies	Stanford University	In-person/Online	Graduate Level	-
Borealis AI Fellowships program	Borealis AI Fellowships	Free	Varies	RBC Borealis	-	Graduate Level	$10,000
Fellowship.ai	Fellowship.ai	Free	3 months	Fellowship.ai	Online	Intermediate	-
ETH AI Center Doctoral Fellowships	ETH AI Center Fellowships	Free	Varies	ETH AI Center	-	Advanced	CHF 72,800 (1st year), CHF 78,000 (2nd year), CHF 83,200 (3rd year)
NHS Fellowship in Clinical Artificial Intelligence	NHS Fellowship	Free	12 months	NHS	In-person	Advanced	-
AI Accountability Fellowships	AI Accountability Fellowships	Free	10 months	Pulitzer Center	Online	Advanced	Up to $20,000
University of Toronto AI Fellowships	University of Toronto AI Fellowships	Free	1 year	University of Toronto	In-person	Advanced	$85,000 CDN/year, plus benefits
AI4All	AI4All	Free	4 weeks	AI4All	In-person	High School	-
Veritas (Multiple)	Veritas Fellowship	Free	12-15 weeks	Veritas	Online	High School	-
AI Policy Fellowship 2025	AI Policy Fellowship	Free	Varies	Institute for AI Policy and Strategy (IAPS)	In person + Remote	Early-Mid Career Professionals	$15,000 USD stipend, plus benefits
U.S.-India AI Fellowship Program	U.S.-India AI Fellowship	Free	12 months	ORF America	In person + Remote	Early-Mid Career Professionals	-
Cooperative AI PhD Fellowship 2025	Cooperative AI Fellowship	Free	Varies	Cooperative AI	-	Early Career Professionals	$40,000 + benefits
Winter Fellowship 2025	Winter Fellowship	Free	Varies	Center for the Governance of AI	In person + Remote	Early-Mid Career Professionals	£9,000 + expenses
Global Fellowship Programme on AI & Market Power	Global Fellowship Programme	Free	-	European AI & Society	-	Individual researchers/teams	$70,000
Global AI Safety Research Fellowship 2025	Global AI Safety Fellowship	Free	8 months	Impact Academy	In person + Remote	All	Competitive Stipend

🔗 Resource Collections

Name	Repo URL	Maintained By	Collection Type
awesome-artificial-intelligence	Link	owainlewis	AI Collection
Machine Learning Engineering Open Book	Link	stas00	AI Collection
Awesome MLOps	Link	visenger	AI Collection
ML YouTube Courses	Link	dair-ai	AI Collection
Keeping up with AGI	Link	cto_junior	AI Collection
The Data Scientists Toolbox	Link	Moad HANI	AI Collection
Awesome Generative AI	Link	steven2358	AI Collection
AI Cheatsheets	Link	kailashahirwar	Cheatsheet
Large Language Model Course	Link	mlabonne	Course
Generative AI for Beginners	Link	microsoft	Course
Data Science for Beginners	Link	microsoft	Course
ML-For-Beginners	Link	microsoft	Course
AI-For-Beginners	Link	microsoft	Course
MLOps Course	Link	GokuMohandas	Course
MLOps Zoomcamp	Link	DataTalksClub	Course
Machine Learning Zoomcamp	Link	DataTalksClub	Course
LLM Zoomcamp	Link	DataTalksClub	Course
LLM Datasets	Link	mlabonne	Dataset collection
RAG Techniques	Link	NirDiamant	Development & Implementation
GenAI Agents	Link	NirDiamant	Development & Implementation
Made With ML	Link	GokuMohandas	Development & Implementation
Monitoring ML	Link	GokuMohandas	Development & Implementation
Bayesian Methods for Hackers	Link	CamDavidsonPilon	Development & Implementation
awesome-ai-agents	Link	slavakurilyak	Development & Implementation
awesome-datascience	Link	academic	Learning
ML-From-Scratch	Link	eriklindernoren	Learning
Zero to Mastery in Data Science	Link	desicochrane	Learning
Deep Learning - All You Need to Know	Link	instillai	Learning
100-Days-Of-ML-Code	Link	Avik-Jain	Learning
Awesome-LLMs-Evaluation-Papers	Link	tjunlp-lab	LLM Evaluation
AI Math Roadmap	Link	jasmcaus	Math for AI
data-science-ipython-notebooks	Link	donnemartin	Notebooks
D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions	Link	d2l-ai	Notebooks
Open LLMs	Link	eugeneyan	Open LLM Collection
applied-ml	Link	eugeneyan	Paper & Blog Collection
Awesome-LLM-Inference	Link	DefTruth	Paper & Blog Collection
KG-LLM Papers	Link	zjukg	Paper Collection
ML Papers of the Week	Link	dair-ai	Paper Collection
awesome-speech-recognition-speech-synthesis-papers	Link	zzw922cn	Paper Collection
recommenders	Link	recommenders-team	Recommendation Algorithms
Google Research	Link	google-research	Research Collection
AI Expert Roadmap	Link	AMAI-GmbH	Roadmap
Deep Learning Papers Reading Roadmap	Link	floodsung	Roadmap
Data Scientist Roadmap	Link	boringPpl	Roadmap
data-scientist-roadmap	Link	MrMimic	Roadmap
nlp-roadmap	Link	graykode	Roadmap
Prompt Engineering	Link	NirDiamant	Techniques
Awesome-LLMOps	Link	tensorchord	Tools

📚 Research Papers, Books & Reading Lists(Must Read)

No.	Title	Authors	URL	Release Date	Category	Type
1	Keeping the neural networks simple by minimizing the description length of the weights	Geofrey E. Hinton and Drew van Camp	Link	1993	Deep Learning	Research Paper
2	A Tutorial Introduction to the Minimum Description Length Principle	Peter Grünwald	Link	2004	Inductive inference	Research Paper
3	Machine Super Intelligence	Shane Legg	Link	2008	Machine Intelligence	Research Paper
4	The First Law of Complexodynamics	Scott Aaronson	Link	2011	Kolmogorov Complexity	Article
5	ImageNet Classification with Deep Convolutional Neural Networks	Krizhevsky, A., Sutskever, I., Hinton, G. E.	Link	2012	Computer Vision	Research Paper
6	Kolmogorov Complexity and Algorithmic Randomness	A. Shen, V. A. Uspensky, and N. Vereshchagin	Link	2013	Algorithmic Information Theory	Book
7	Playing Atari with Deep Reinforcement Learning	Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., Riedmiller, M.	Link	2013	Reinforcement Learning	Research Paper
8	Recurrent Neural Network Regularization	Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals	Link	2014	Deep Learning	Research Paper
9	Quantifying the Rise and Fall of Complexity in Closed Systems: the Coffee Automaton	Scott Aaronson, Sean M. Carroll, Lauren Ouellette	Link	2014	Deep Learning	Research Paper
10	Neural Turing Machines	Alex Graves, Greg Wayne, Ivo Danihelka	Link	2014	Deep Learning	Research Paper
11	Generative Adversarial Nets	Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.	Link	2014	Generative Models	Research Paper
12	DeepFace: Closing the Gap to Human-Level Performance in Face Verification	Taigman, Y., Yang, M., Ranzato, M. A., Wolf, L.	Link	2014	Computer Vision	Research Paper
13	Neural Machine Translation by Jointly Learning to Align and Translate	Bahdanau, D., Cho, K., Bengio, Y.	Link	2014	NLP	Research Paper
14	Sequence to Sequence Learning with Neural Networks	Sutskever, I., Vinyals, O., Le, Q. V.	Link	2014	NLP	Research Paper
15	Show and Tell: A Neural Image Caption Generator	Vinyals, O., Toshev, A., Bengio, S., Erhan, D.	Link	2014	Computer Vision	Research Paper
16	DeepSpeech: Scaling up end-to-end speech recognition	Hannun, A., Case, C., Casper, J., Catanzaro, B., Diamos, G., Elsen, E., Prenger, R., Satheesh, S., Sengupta, S., Coates, A., Ng, A. Y.	Link	2014	Speech	Research Paper
17	The Unreasonable Effectiveness of Recurrent Neural Networks	Andrej Karpathy	Link	2015	Deep Learning	Article
18	Understanding LSTM Networks	Christopher Olah	Link	2015	Deep Learning	Article
19	Pointer Networks	Oriol Vinyals, Meire Fortunato, Navdeep Jaitly	Link	2015	Deep Learning	Research Paper
20	Order Matters: Sequence to sequence for sets	Oriol Vinyals, Samy Bengio, Manjunath Kudlur	Link	2015	Deep Learning	Research Paper
21	Deep Residual Learning for Image Recognition	Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun	Link	2015	Deep Learning	Research Paper
22	Multi-Scale Context Aggregation by Dilated Convolutions	Fisher Yu, Vladlen Koltun	Link	2015	Deep Learning	Research Paper
23	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	Baidu Research – Silicon Valley AI Lab	Link	2015	Deep Learning	Research Paper
24	A Neural Algorithm of Artistic Style	Gatys, L. A., Ecker, A. S., Bethge, M.	Link	2015	Computer Vision	Research Paper
25	Deep Reinforcement Learning with Double Q-learning	Hasselt, H. V., Guez, A., Silver, D.	Link	2015	Reinforcement Learning	Research Paper
26	Deep Residual Learning for Image Recognition	He, K., Zhang, X., Ren, S., Sun, J.	Link	2015	Computer Vision	Research Paper
27	Identity Mappings in Deep Residual Networks	Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun	Link	2016	Deep Learning	Research Paper
28	WaveNet: A Generative Model for Raw Audio	van den Oord, A., Dieleman, S., Zen, H., Simonyan, K., Vinyals, O., Graves, A., Kalchbrenner, N., Senior, A., Kavukcuoglu, K.	Link	2016	Speech	Research Paper
29	Neural Architecture Search with Reinforcement Learning	Zoph, B., Le, Q. V.	Link	2016	Machine Learning	Research Paper
30	Neural Message Passing for Quantum Chemistry	Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, George E. Dahl	Link	2017	Deep Learning	Research Paper
31	A Simple Neural Network Module for Relational Reasoning	Adam Santoro, David Raposo, David G.T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, Timothy Lillicrap	Link	2017	Deep Learning	Research Paper
32	Variational Lossy Autoencoder	Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel	Link	2017	Deep Learning	Research Paper
33	A Survey of Deep Reinforcement Learning Techniques	Li, Y.	Link	2017	Reinforcement Learning	Research Paper
34	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction	Guo, H., Tang, R., Ye, Y., Li, Z., He, X.	Link	2017	Recommender Systems	Research Paper
35	Neural Style Transfer: A Review	Jing, Y., Yang, Y., Feng, Z., Ye, J., Yu, Y., Song, M.	Link	2017	Computer Vision	Research Paper
36	Attention Is All You Need	Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., Polosukhin, I.	Link	2017	Natural Language Processing (NLP)	Research Paper
37	Deep Reinforcement Learning from Human Preferences	Paul Christiano, Jan Leike, Tom B. Brown, Miljan Martic, Shane Legg, Dario Amodei	Link	2017	Reinforcement Learning	Research Paper
38	Deep Learning based Recommender System: A Survey and New Perspectives	Zhang, S., Yao, L., Sun, A., Tay, Y.	Link	2017	Recommender Systems	Research Paper
39	Neural Collaborative Filtering	He, X., Liao, L., Zhang, H., Nie, L., Hu, X., Chua, T.-S.	Link	2017	Recommender Systems	Research Paper
40	AlphaGo Zero: Mastering the game of Go without human knowledge	Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., et al.	Link	2017	Reinforcement Learning	Research Paper
41	VQ-VAE: Neural Discrete Representation Learning	van den Oord, A., Vinyals, O., Kavukcuoglu, K.	Link	2017	Generative Models	Research Paper
42	The Illustrated Transformer	Jay Alammar	Link	2018	Transformers	Article
43	Relational Recurrent Neural Networks	Adam Santoro, Ryan Faulkner, David Raposo, et al.	Link	2018	Deep Learning	Research Paper
44	YOLOv3: An Incremental Improvement	Redmon, J., Farhadi, A.	Link	2018	Computer Vision	Research Paper
45	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.	Link	2018	NLP	Research Paper
46	The Bitter Lesson	Rich Sutton	Link	2019	AI Philosophy	Article
47	GPipe: Easy Scaling with Micro-Batch Pipeline Parallelism	Yanping Huang, Youlong Cheng, et al.	Link	2019	Deep Learning	Research Paper
48	Scaling Laws for Neural Language Models	Jared Kaplan, Sam McCandlish, et al.	Link	2020	Scaling Laws	Research Paper
49	Dense Passage Retrieval for Open-Domain Question Answering	Vladimir Karpukhin, Barlas Oguz, et al.	Link	2020	Language Models	Research Paper
50	Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks	Patrick Lewis, Ethan Perez, et al.	Link	2020	RAG	Research Paper
51	GPT-3: Language Models are Few-Shot Learners	Brown, T. B., Mann, B., Ryder, N., et al.	Link	2020	NLP	Research Paper
52	Zero-Shot Text-to-Image Generation	Ramesh, A., Pavlov, M., et al.	Link	2021	Generative Models	Research Paper
53	Self-Instruct: Aligning language models with self-generated instructions	Yizhong Wang, et al.	Link	2022	Language Models	Research Paper
54	Chinchilla: Training Compute-Optimal Large Language Models	Jordan Hoffmann, Sebastian Borgeaud, et al.	Link	2022	Language Models	Research Paper
55	Training Language Models to Follow Instructions with Human Feedback	Long Ouyang, Jeff Wu, et al.	Link	2022	Language Models	Research Paper
56	Precise Zero-Shot Dense Retrieval Without Relevance Labels	Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan	Link	2022	Language Models	Research Paper
57	Understanding Deep Learning	Simon J.D. Prince	Link	2023	Deep Learning	Book
58	Zephyr: Direct Distillation of LM Alignment	Lewis Tunstall, Edward Beeching, et al.	Link	2023	Reinforcement Learning	Research Paper
59	Lost in the Middle: How Language Models Use Long Contexts	Nelson F. Liu, Kevin Lin, et al.	Link	2023	Language Models	Research Paper
60	Alpaca: A Strong, Replicable Instruction-Following Model	Stanford Center for Research on Foundation Models	Link	2023	Language Models	Research Paper
61	Llama 2: Open Foundation and Fine-Tuned Chat Models	Hugo Touvron, Louis Martin, et al.	Link	2023	Language Models	Research Paper
62	LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models	Yukang Chen, Shengju Qian, et al.	Link	2023	Language Models	Research Paper
63	Are Emergent Abilities of Large Language Models a Mirage?	Rylan Schaeffer, Brando Miranda, Sanmi Koyejo	Link	2023	Language Models	Research Paper
64	Direct Preference Optimization (DPO)	Rafael Rafailov, Archit Sharma, et al.	Link	2023	Optimization Techniques	Research Paper
65	Mamba: Linear-Time Sequence Modeling with Selective State Spaces	Albert Gu, Tri Dao	Link	2023	Sequence Modeling	Research Paper
66	QLoRA: Efficient Finetuning of Quantized LLMs	Tim Dettmers, Artidoro Pagnoni, et al.	Link	2023	Language Models	Research Paper
67	Reflexion: Language Agents with Verbal Reinforcement Learning	Noah Shinn, Federico Cassano, et al.	Link	2023	Language Models	Research Paper
68	Chain-of-Thought Prompting Elicits Reasoning in Large Language Models	Jason Wei, Xuezhi Wang, et al.	Link	2023	Language Models	Research Paper
69	Explainability for Large Language Models: A Survey	Haiyan Zhao, Hanjie Chen, et al.	Link	2023	Language Models	Research Paper
70	Better & Faster Large Language Models Via Multi-token Prediction	Fabian Gloeckle, Badr Youbi Idrissi, et al.	Link	2024	Language Models	Research Paper
71	KAN: Kolmogorov-Arnold Networks	Ziming Liu, Yixuan Wang, Sachin Vaidya, et al.	Link	2024	Deep Learning	Research Paper
72	A Survey of Large Language Models	Zhao et al.	Link	2024	Language Models	Research Paper

🛠 Libraries & Frameworks [In-progress]

🔧 Tools & Experimentation Platforms [In-progress]

📊 Data Sources

Name	URL
Kaggle	kaggle.com/datasets
UCI Machine Learning Repository	archive.ics.uci.edu
Google Dataset Search	datasetsearch.research.google.com
Data.gov	data.gov
AWS Open Data Registry	registry.opendata.aws
Open Data Portal	data.gov.uk
World Bank Data	data.worldbank.org
European Data Portal	data.europa.eu/en
OpenML	openml.org
Zenodo	zenodo.org
City of New York Open Data	opendata.cityofnewyork.us
ImageNet	image-net.org
CIFAR-10	cs.toronto.edu/~kriz/cifar.html
Awesome Public Datasets Collection	github.com/awesomedata/awesome-public-datasets
Stanford Large Network Dataset Collection	snap.stanford.edu/data
Common Crawl	commoncrawl.org
Global Health Observatory	who.int/data/gho
Huggingface Datasets	huggingface.co/datasets

🤝 Communities & Networking [In-progress]

📰 Newsletters & Blogs [In-progress]

🎙️ Podcasts & Video Series [In-progress]

💼 Interview Prep [In-progress]

🌐 Channels to Follow

Name	URL	Channel
AI Explained	Link	YouTube
Andrej Karpathy	Link	YouTube
Matt Wolfe	Link	YouTube
AI Explained	Link	YouTube
Two Minute Papers	Link	YouTube
DeepLearningAI	Link	YouTube
The AI Advantage	Link	YouTube
MattVidPro AI	Link	YouTube
Siraj Raval	Link	YouTube
StatQuest with Josh Starmer	Link	YouTube
Krish Naik	Link	YouTube
Simplilearn	Link	YouTube
freeCodeCamp.org	Link	YouTube
edureka!	Link	YouTube
Corey Schafer	Link	YouTube
sentdex	Link	YouTube
Yannic Kilcher	Link	YouTube
Machine Learning Street Talk	Link	YouTube
Lex Fridman	Link	YouTube
bycloud	Link	YouTube
Neptune AI	Link	YouTube
MIT HAN Lab	Link	YouTube
3Blue1Brown	Link	YouTube
Kaggle	Link	YouTube
OpenAI	Link	YouTube
TheAIGRID	Link	YouTube
IBM Technology	Link	YouTube
Shaw Talebi	Link	YouTube
codebasics	Link	YouTube
Sam Witteveen	Link	YouTube
Chris Hay	Link	YouTube
Wes Roth	Link	YouTube
This Day in AI Podcast	Link	YouTube
No Priors: AI, Machine Learning, Tech, & Startups	Link	YouTube
Discover AI	Link	YouTube
hu-po	Link	YouTube
OpenAI	Link	Twitter
DeepMind	Link	Twitter
Andrew Ng	Link	Twitter
Yann LeCun	Link	Twitter
Demis Hassabis	Link	Twitter
Lex Fridman	Link	Twitter
Google AI	Link	Twitter
Towards Data Science	Link	Twitter
Ian Goodfellow	Link	Twitter
Fei-Fei Li	Link	Twitter
Andrej Karpathy	Link	Twitter
Francois Chollet	Link	Twitter
Jeff Dean	Link	Twitter
Geoffrey Hinton	Link	Twitter
Timnit Gebru	Link	Twitter
Sebastian Thrun	Link	Twitter
Anima Anandkumar	Link	Twitter
AI Now Institute	Link	Twitter
NVIDIA AI	Link	Twitter
Microsoft Research	Link	Twitter
IBM Research	Link	Twitter
The Gradient	Link	Twitter
EleutherAI	Link	Twitter
Fast.ai	Link	Twitter
Hugging Face	Link	Twitter
KDNuggets	Link	Twitter
Google Research	Link	Twitter
Arxiv	Link	Twitter
Arxiv Blog	Link	Twitter
Rachel Thomas	Link	Twitter
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