awesome-generative-ai

Awesome Generative AI

A curated list of Generative AI projects, tools, artworks, and models

• Generative AI Area
  • Generative AI history, timelines, maps, and definitions
  • Ethics, Philosophical questions and Discussions about Generative AI
  • Critical Views about Generative AI
  • Generative AI Processes and Artifacts
  • Generative AI Tools Directories
  • Courses and Educational Materials
  • Human-AI Interaction
  • Papers Collection
  • Online Tools and Applications
• Code and Programming
  • Vibe Coding
  • AI-Powered Code Generation
• Text
  • Everything to Markdown to LLMs
  • Small Language Models
  • Large Language Models (LLMs)
    • Model Context Protocol
    • Programming Frameworks for LLMs
    • Prompt Engineering
      • Prompt Optimizers
      • Prompt Engineering for Text-to-text
      • Prompt Engineering for Text-to-image
    • Mamba
    • Running LLMs Locally
    • Function Calling
    • GPTs and Assistant API
    • Retrieval-Augmented Generation (RAG)
    • Embeddings and Semantic Search
    • Autonomous LLM Agents
      • Multi-agents
    • LLM Evaluation
    • LLMOps
    • AI Engineering
    • Attacks on LLMs
    • LangChain
    • ChatGPT
    • Text-related Generative Tools
  • Research AI Tools
    • AI Tools for Research
    • AI Tools for Searching
• Image
  • Image Synthesis
    • Inbox: Stable Diffusion
      • Stable Diffusion Deployed Web Tools
      • Web UI for Stable Diffusion via Google Colab
      • References Collection about Stable Diffusion
    • Hypertechniques
      • ControlNet
      • Textual Inversion
      • DreamBooth
      • Deforum
    • Creative Uses of Generative AI Image Synthesis Tools
  • Image Upscaling
  • Image Restoration
  • Image Segmentation
• Video and Animation
• Audio and Music
• Speech
  • Text-to-speech (TTS) and avatars
    • Podcast generators
  • Speech-to-text (STT) and spoken content analysis
• Games
• Multimodal
  • Multimodal Embedding Space
• Datasets
• Misc
  • AI and Education
  • People and works
    • Interesting Twitter Accounts
    • Interesting Instagram Accounts, Posts and Reels
    • Interesting Youtube Channels
    • Interesting GitHub Repositories
    • Artists and Artworks
    • Galleries
  • Related Awesome Lists
  • Bio experiments
  • Jobs in Generative AI
  • Improving Google Colab experience
  • Auxiliary tools and concepts
    • Dimension reduction techniques
  • Roadmaps, Tracks, Rails
  • Stargazers over time
  • Contribute
  • License

Repository Introduction

Welcome to our Awesome List of Generative AI resources! This repository is a curated collection of references in the dynamic field of Generative AI, equipped with various sources such as academic papers, technical articles, online courses, tutorials, and software.

Structure

1. Sections: Each section represents a different Generative AI-related category (e.g., LLMs, prompt engineering, image synthesis, educational resources, etc.). The Inboxes are the more general references of a category. When a new category emerges, it becomes a specific subsection.

2. References within sections: Inside each section, references are listed in reverse chronological order, with the most recent one at the top. This order signifies the ever-evolving landscape of Generative AI, keeping you up-to-date with the latest developments.

This repository is designed to offer you the most recent advancements at your fingertips, allowing you to explore the depth of older resources at your own pace. It's regularly updated, ensuring you're always on track with the rapidly progressing world of Generative AI.

Contribute to our Repository

Your contributions are welcome and greatly appreciated! If you have a valuable resource that you believe should be on this list, or if you see any outdated information, please make a Pull Request. This will help us maintain the quality and relevance of our Awesome List.

Follow this roadmap, keep learning, and enjoy your journey through Generative AI!

Generative AI Area

Generative AI history, timelines, maps, and definitions

• AI Timeline
• Agents Marketplace
• [🔥] 2024 AI Timeline: a Hugging Face Space by reach-vb
• Cartography of generative AI: "What set of extractions, agencies, and resources allow us to converse online with a text-generating tool or to obtain images in a matter of seconds?"
• The Rise of Generative AI Large Language Models (LLMs): interactive timeline visualization made by Information Is Beautiful
• The AI Timeline (@TheAITimeline) / X
• Generative AI for Beginners: Part 1 — Introduction to AI | by Raja Gupta | Medium
• Artificial Intelligence Learning Roadmap [AI Roadmap] 2024
• A Brief History of Generative AI - DATAVERSITY
• A Simple Guide To The History Of Generative AI | Bernard Marr
• Generative AI Timeline from January 2023 to July 2023
• The rise of generative AI: A timeline of triumphs, hiccups and hype | CIO Dive
• Brief History In Time: Decoding the Evolution of Generative AI | LinkedIn
• [🔥🔥🔥] FirstMark | 2024 MAD (ML/AI/Data) Landscape: Full Steam Ahead The 2024 MAD (Machine Learning, AI & Data) Landscape
• Timeline of AI forecasts - AI Digest
• Generative AI Iceberg
• [🔥🔥🔥] Generative AI in a nutshell: a map with the most common Generative AI' concepts by Henrik Kniberg Youtube Video explaining the map
• 60+ Generative AI Terms You Must Know By Heart: by Analytics Vidhya
• The Four Wars of the AI Stack (Dec 2023 Recap): "recap of top items for the AI Engineer from Dec 2023" ("The Data Wars, The War of the GPU Rich/Poor, The Multimodality War, The RAG/Ops War")
• GenAI Prism Infographic by Brian Solis: A Framework for Collaborating with Generative AI
• LLM Visualization
• [2310.04438] A Brief History of Prompt: Leveraging Language Models: the paper presents an exploration of the evolution of prompt engineering. The author, Golam Md Muktadir, extensively used ChatGPT for content generation
• An AI Engineer’s Guide to Machine Learning and Generative AI | by ai geek (wishesh) | Oct, 2023 | Medium
• Emerging Trends in Generative AI Research: A Selection of Recent Papers
• The architecture of today's LLM applications - The GitHub Blog
• [🔥🔥🔥] [2310.07127] An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions: "a survey of 154 papers, providing a novel taxonomy and analysis of Human-GenAI Interactions from both human and Gen-AI perspectives".
• The Building Blocks of Generative AI | by Jonathan Shriftman | Medium
• [🔥] Generative AI exists because of the transformer: a visual story by Financial Times
• Early days of AI - by Elad Gil: thoughts about AI as "an entirely new era and discontinuity from the past"
• The Next Token of Progress: 4 Unlocks on the Generative AI Horizon | Andreessen Horowitz
• [2309.07930] Generative AI: discusses a model-, system-, and application-level view on generative AI.
• The state of AI in 2023: Generative AI’s breakout year | McKinsey
• A jargon-free explanation of how AI large language models work | Ars Technica
• The Generative AI Revolution: Exploring the Current Landscape | by Towards AI Editorial Team | Jun, 2023 | Towards AI
• The Story of AI Winters and What it Teaches Us Today
• There Would Have Been No LLMs Without This (episode#3 in the History series): timeline of LLMs by Turing Post
• The Next Token of Progress: 4 Unlocks on the Generative AI Horizon | Andreessen Horowitz: critical innovations on the horizon: steering, memory, ability to use tools, and multimodality
• The economic potential of generative AI: The next productivity frontier: report by McKinsey Jun 2023
• A survey of Generative AI Applications | arxiv: "this survey aims to serve as a valuable resource for researchers and practitioners to navigate the rapidly expanding landscape of generative AI"
• Paper Digest - ChatGPT: Recent Papers on ChatGPT
• AI Index Report 2023 – Artificial Intelligence Index: report that measures trends in AI written by the Human-Centered Artificial Intelligence from Stanford University
• A Survey of Large Language Models: paper that summarizes the evolution of language models, with a focus on LLMs, discussing their advances, techniques, and impact on AI development and usage
• The Generative AI Timeline: post in Linkedin by David Foster
• Who Owns the Generative AI Platform? | Andreessen Horowitz: this article discusses the generative AI market and presents an interesting technology stack of the area
• A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT | arxiv
• [🔥🔥] Toward General Design Principles for Generative AI Applications: this paper presents a set of seven principles for the design of generative AI applications
• [🔥] The landscape of generative AI landscape reports | by Ramsri Goutham | Jan, 2023 | Medium: a meta report on the reports published by 9 venture capital firms
• Generative AI with Cohere: Part 1 - Model Prompting: overview of Generative AI by Cohere AI
• Generative AI with Cohere: Part 2 - Use Case Ideation: a list of Generative AI use cases by Cohere AI
• Large Language Models and Where to Use Them: Part 1: a list of LLM use cases by Cohere AI
• Large Language Models and Where to Use Them: Part 2
• What's the big deal with Generative AI? Is it the future or the present?: summarization of the area of Generative AI by Cohere AI
• Timeline of AI and language models: LLM timeline organized by Dr Alan D. Thompson from Life Architect
• A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT | arxiv
• A Review of Generative AI from Historical Perspectives: paper by Dipankar Dasgupta, Deepak Venugopal and Kishor Datta Gupta
• Matt Shumer on Twitter: "The definitive AI market map Twitter thread": "The definitive AI market map Twitter thread"
• [🔥] Base11 Research - generative-ai: report about Generative AI produced by the investment firm Base10
• Engines of Wow: AI Art Comes of Age – Steve Murch
• AI exploded on the scene at the end of 2022 / Twitter: categories for analyzing tools of Generative AI
• [🔥🔥🔥] Mapping the Generative AI landscape | Antler
• [🔥🔥🔥] AI Timeline: A history of text-to-image ML models by Fabian Mosele
• AI-Generated Art: From Text to Images & Beyond Examples
• 1 week of Stable Diffusion | multimodal.art

Ethics, Philosophical questions and Discussions about Generative AI

• 🔭 The Einstein AI model
• Machines of Loving Grace - How AI Could Transform the World for the Better by Dario Amodei
• The Five Stages Of AI Grief - NOEMA
• Generative AI Ethics: 8 Biggest Concerns and Risks
• Automated Social Science: Language Models as Scientist and Subjects | NBER
• It’s time to retire the term “user”: the proliferation of AI means we need a new word
• Understanding how personality traits, experiences, and attitudes shape negative bias toward AI-generated artworks | Scientific Reports
• Tracking AI: Monitoring Bias in Artificial Intelligence Chatbots
• Will AI’s Next Wave of Super Intelligence Replace Human Ingenuity? It’s Complicated - Grit Daily News
• Who is Afraid of Frankenstein? And of Generative AI? | Fast Company Brasil [PT-BR]
• Hito Steyerl, Mean Images, NLR 140/141, March–June 2023
• The copyright conundrum of AI art - The Verge
• Recommendations for the advancement of artificial intelligence in Brazil – ABC [PT-BR]
• We must stop AI replicating the problems of surveillance capitalism
• Artificial Intelligence at the Service of Collective Intelligence
• New Training Method Helps AI Generalize like People Do - Scientific American
• [2310.01405] Representation Engineering: A Top-Down Approach to AI Transparency: "an approach to enhancing the transparency of AI systems that draws on insights from cognitive neuroscience"
• Generative AI Resources for Berkeley Law Faculty & Staff - Berkeley Law
• Licensing is neither feasible nor effective for addressing AI risks
• Generative AI companies must publish transparency reports
• Does ChatGPT have a liberal bias?
• More human than human: measuring ChatGPT political bias | Public Choice
• Redefining Bias: The Human Prejudice Against AI | Medium
• AI Art and its Impact on Artists: paper published in the Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society
• The Age of AI has begun | Bill Gates
• The AIKEA Effect: by Artur Piszek
• Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges | SpringerLink
• Embracing change and resetting expectations | Microsoft Unlocked: text by Terence Tao
• Art and the science of generative AI | Science
• Where AI evolves from here
• The Age of AI has begun: notes by Bill Gates
• GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models: OpenAI's paper that discusses the possible implications of GPTs on the U.S. labor market
• Why generative AI scares artists but not content writers
• Cultures in AI/AI in Culture: NeurIPS 2022 Workshop webpage
• AI Data Laundering - Waxy.org: How Academic and Nonprofit Researchers Shield Tech Companies from Accountability
• [🔥🔥🔥] (1232) The End of Art: An Argument Against Image AIs - YouTube: video essay by Steven Zapata
• [🔥🔥🔥] The End of Art: An Argument Against Image AIs (Public) - Google Docs: transcript of the video essay by Steven Zapata
• [🔥🔥🔥] Generative AI: A Creative New World | Sequoia Capital US/Europe: report by Sequoia Capital about the possible applications of Generative AI
• Synthetic Creativity - by Cavin - Deep Markets
• Our Vision for the Future of Synthetic Media | by Victor Riparbelli | Medium
• Deep Else: A Critical Framework for AI Art
• How Photography Became An Art Form | Aaron Hertzmann’s blog
• Can Computers Create Art? by Aaron Hertzmann: 2018's essay published on the Arts Journal
• Text Is the Universal Interface - Scale
• This artist is dominating AI-generated art. And he’s not happy about it. | MIT Technology Review
• The REAL fight over AI art: StableDiffusion | Reddit
• Rutkowski battling AI art overlord | Reddit
• Instead of mining cryptocoins with GPUs, are we now mining art? | Reddit
• Using AI to create art is NOT art! | Reddit : ArtistLounge
• Appreciating the Poetic Misunderstandings of A.I. Art | The New Yorker

Critical Views about Generative AI

• The case against AI-generated users - IDEO
• Why handing over total control to AI agents would be a huge mistake | MIT Technology Review
• Collection of "The Most Thoughtful Writing about Generative AI" by Eryk Salvaggio
• AI Snake Oil: Separating Hype from Reality | TechPolicy.Press
• Deconstructing the AI Myth: Fallacies and Harms of Algorithmification
• Challenging The Myths of Generative AI | TechPolicy.Press
• I am tired of AI | On Test Automation
• Critique of Generative AI Can Harm Learning Study Design  by Steffi Tan, Vaikunthan Rajaratnam :: SSRN
• Generative AI Can Harm Learning by Hamsa Bastani, Osbert Bastani, Alp Sungu, Haosen Ge, Özge Kabakcı, Rei Mariman :: SSRN
• I Taught for Most of My Career. I Quit Because of ChatGPT | TIME
• AI Risks that Could Lead to Catastrophe | CAIS
• The AI Risk Repository
• [2406.17864] AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies
• "AI for Good" Campaigns Are the Wrong Approach - IEEE Spectrum
• Generative AI is not the panacea we’ve been promised | Eric Siegel for Big Think+ - YouTube
• Thoughts on GenAI by James Gosling
• Automated Social Science: Language Models as Scientist and Subjects | NBER
• When Will the GenAI Bubble Burst? - by Gary Marcus
• Nightshade, the tool that ‘poisons’ data, gives artists a fighting chance against AI | TechCrunch
• How AI Fails Us | Edmond & Lily Safra Center for Ethics
• Generative AI Has a Visual Plagiarism Problem - IEEE Spectrum: "Experiments with Midjourney and DALL-E 3 show a copyright minefield"
• [2308.03762] GPT-4 Can't Reason: "despite the genuinely impressive improvement, there are good reasons to be highly skeptical of GPT-4's ability to reason"
• Risk and Harm: Unpacking Ideologies in the AI Discourse | Proceedings of the 5th International Conference on Conversational User Interfaces
• [2305.18654] Faith and Fate: Limits of Transformers on Compositionality
• [2210.02667] A Human Rights-Based Approach to Responsible AI
• On the Dangers of Stochastic Parrots | Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
• This new data poisoning tool lets artists fight back against generative AI | MIT Technology Review
• The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market by Xiang Hui, Oren Reshef, Luofeng Zhou :: SSRN
• AI in Education Group Meeting Notes - Google Docs
• Syllabi Policies for AI Generative Tools - Google Docs
• Five takeaways from UK’s AI safety summit at Bletchley Park | Artificial intelligence (AI) | The Guardian
• Frontier AI: capabilities and risks – discussion paper - GOV.UK
• AI Safety Summit Policy Updates | AISS 2023
• Responsible enterprise decisions with knowledge-enriched generative AI | Deloitte Netherlands
• [2310.13149] Understanding Generative AI in Art: An Interview Study with Artists on G-AI from an HCI Perspective
• [2309.12338] Artificial Intelligence and Aesthetic Judgment: "as generative AI influences contemporary aesthetic judgment we outline some of the pitfalls and traps in attempting to scrutinize what AI generated media means"
• AI Worship | Marginal REVOLUTION
• Artificial intelligence technology behind ChatGPT was built in Iowa — with a lot of water | AP News
• ChatGPT is fun, but not an author | Science
• Behind the AI boom, an army of overseas workers in ‘digital sweatshops’ | The Washington Post: Scale AI’s Remotasks workers in the Philippines cry foul over low pay
• It’s Not Intelligent If It Always Halts: A Critical Perspective on Current Approaches to AGI | Life Is Computation
• The human costs of the AI boom | TechCrunch
• AI Scams, Spam, Hacking, Are Ruining the Internet
• The ChatGPT revolution is another tech fantasy
• Why AI Will Save the World | Andreessen Horowitz
• Hollywood studios proposed AI contract that would give them likeness rights ‘for the rest of eternity’ - The Verge
• The shady world of Brave selling copyrighted data for AI training
• Inside the AI Factory: the humans that make tech seem human - The Verge
• Why transformative artificial intelligence is really, really hard to achieve
• AI and the automation of work — Benedict Evans
• Yuval Noah Harari argues that AI has hacked the operating system of human civilisation
• Generative AI Takes Stereotypes and Bias From Bad to Worse
• Governance of superintelligence by OpenAI
• AIAAIC - AIAAIC Repository: "The independent, open, public interest resource detailing incidents and controversies driven by and relating to artificial intelligence, algorithms, and automation"
• Just Calm Down About GPT-4 Already - IEEE Spectrum
• Pause Giant AI Experiments: An Open Letter - Future of Life Institute
• "OpenAI released plugins for ChatGPT": tweet from @thealexbanks with a list of reflections about the impact of ChatGPT plugins
• Is a socially fair Artificial Intelligence possible? | Uma Inteligência Artificial socialmente justa é possível?: post in Portuguese by H.D. Mabuse
• Noam Chomsky on ChatGPT: It's "Basically High-Tech Plagiarism" and "a Way of Avoiding Learning" | Open Culture
• Despite Their Feats, Large Language Models Still Haven't Contributed to Linguistics | Towards Data Science
• Will ChatGPT Kill the Student Essay? | The Atlantic
• What ChatGPT and generative AI mean for science | Nature
• ChatGPT Is a Bullshit Generator Waging Class War
• Some thoughts about generative AI and the future of education – Mark Carrigan
• Educator Considerations for ChatGPT - OpenAI API
• Stable Diffusion Frivolous · Because lawsuits based on ignorance deserve a response.: a community response for the "Stable Diffusion litigation"
• Stable Diffusion litigation · Joseph Saveri Law Firm & Matthew Butterick
• Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations | OpenAI
• Abstracts written by ChatGPT fool scientists
• When Machines Change Art | Aaron Hertzmann’s blog
• The Dark Risk of Large Language Models | WIRED UK
• ChatGPT, DALL-E 2 and the collapse of the creative process
• What AI-Generated Art Really Means for Human Creativity | WIRED
• Forecasting Potential Misuses of Language Models for Disinformation Campaigns—and How to Reduce Risk
• The Dark Side of AI Art: 4 Potential Issues With the Growing Trend
• Armed With ChatGPT, Cybercriminals Build Malware And Plot Fake Girl Bots
• ChatGPT And The Mass Production Of Office Work - Farsight
• The Danger Of ChatGPT Nobody Talks About | by Jacob Ferus | Dec, 2022 | Medium
• Mind Control in the Metaverse. If we’ve learned anything about… | by Louis Rosenberg | Predict | Dec, 2022 | Medium
• The Brilliance and Weirdness of ChatGPT - The New York Times
• Como o texto gerado por Inteligência Artificial está envenenando a Internet - MIT Technology Review
• O ChatGPT é o momento “Jurassic Park” da inteligência artificial - NeoFeed
• Por favor, mais racionalidade e menos frenesi em relação ao chatGPT (Parte 1 de 2) | by Cezar Taurion | Dec, 2022 | Medium
• E se estivermos usando uma IA pseudocientífica? - Diogo Cortiz
• As limitações da sensação tecnológica de 2023: o ChatGPT | IAgora? | Época NEGÓCIOS
• 7 Revealing Ways AIs Fail - IEEE Spectrum

Generative AI Processes and Artifacts

Generative AI is a branch of artificial intelligence that focuses on creating new data based on patterns learned from existing data. Here's a step-by-step explanation of the process:

1. Starting with Data: Every Generative AI process begins with data. This can be in various forms such as text, images, sounds, or other datasets. This data serves as the foundational material that the AI uses to recognize and understand patterns.

2. Training the AI: With the data in hand, the next step is 'training'. During this phase, the AI processes the data multiple times to learn and internalize the patterns present. The outcome of this stage is a 'model', which acts like a digital representation of the knowledge derived from the data.

3. Fine-Tuning: At times, there's a need for the AI to focus on specific nuances or characteristics. In such cases, an additional set of data is used to 'fine-tune' the already trained model, enhancing its capabilities in the desired direction.

4. Using the Model: After training, the model is prepared to make inferences, which means using its acquired knowledge to process new data and come up with relevant outputs. This inference process can be executed locally on a machine or can be accessed remotely through an 'API'. The choice between local execution and API access often depends on factors like computational resources, application needs, and user preferences. Whether locally or via an API, the goal is to leverage the model's capabilities to derive meaningful results from new data inputs.

5. Generating New Data: With the model set up, the AI can now produce or 'generate' new data. By giving the AI certain 'input parameters' or guidelines, it returns with 'generated output', which is the newly created content.

6. Applications: The output generated by the AI can be incorporated into a range of applications, be it websites, mobile apps, or other digital platforms. The 'interface' refers to the user-facing portion of these applications, enabling users to interact with and benefit from the AI's capabilities.

In essence, Generative AI is about feeding an AI system vast amounts of data, training it to grasp underlying patterns, and then utilizing that trained knowledge to produce novel data. The potential applications and benefits of this technology are vast and continue to grow as the field evolves.

Generative AI Tools Directories

• AI Presentation Makers: In-depth reviews of dozens of AI presentation makers
• A.I. Productivity Tools
• ToolList.ai: AI Tools Aggregator
• Toolify: AI Tools Directory & AI Tools List
• LLM Explorer: A Curated LLM List. Explore LLM List of the Open-Source LLM Models
• OrbicAI: "The Larget AI Directory, GPT Stores, AWS PartyRocks Apps and Lots of Free AI Tools"
• Altern: "Gateway to AI Discoveries"
• ainave: "navigate the world of AI with ease", curated AI Tools and AI News
• AI Search: Find AI Tools & Apps | Search The Most Complete AI Tools Directory | AI Search
• AiSuperSmart Ai Tool Directory: Find Ai Tools According to your Use Cases!
• HD Robots: AI tools directory with chatbot assistant
• AIForme: AI tools discovery platform with comparison feature
• Technologies in LabLab: list of AI tools suggested by lablab.ai for their hackathons
• Vondy - Next Generation AI Apps: collection of AI tools organized by tasks
• AI Tool Master List: directory maintained by ClickUp
• AI Valley: "The Newest AI Tools And Prompts"
• AI Finder: repository with more than 1500 AI tools
• BestWebbs: "one-stop destination for all AI Tools"
• Future Tools - Find The Exact AI Tool For Your Needs: list of AI tools
• Futurepedia - The Largest AI Tools Directory | Home: directory of AI tools
• There's An AI For That: AI database
• AI Depot - Discover New AI Tools: collection of AI tools organized by tags and presented in a card format
• Generative AI Database: a database in Notion with types, models, sectors, URLs, and APIs
• Altern - The place to discover new AI tools and products.
• The Generative AI Landscape: "a collection of awesome generative AI applications"
• The ultimate list of AI tools for creators | Descript: collection organized by Descript
• Maxim AI: a generative AI evaluation and observability platform
• AI Tool List: An awesome directory of AI tools

Courses and Educational Materials

• Gemini by Example: Learn the Gemini SDK through (annotated) code examples.
• Niraj-Lunavat/Artificial-Intelligence: Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
• Generative AI Explained by NVIDIA: A no-coding course by NVIDIA that presents Generative AI concepts and applications, as well as the challenges and opportunities in the field
• Paulescu/hands-on-rl: Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽
• DataCamp's Become a Generative AI Developer series: 9 code-alongs on building chatbots using LangChain and the OpenAI and Pinecone APIs, and working with the Hugging Face ecosystem. Free, for a limited time only.
• rasbt/LLMs-from-scratch: Implementing a ChatGPT-like LLM from scratch, step by step
• Introduction to Generative AI | SqillPlan: introduction to Generative AI, including models such as GANs, Variational Autoencoders, Autoregressive Models, and their applications, evaluation, ethics, and challenges
• udlbook/udlbook: Understanding Deep Learning by Professor Simon J.D. Prince
• Book: Understanding Deep Learning: website with the book draft and Google Colabs of the book by Simon J.D. Prince
• List of Generative AI Learning resources from AWS and Google: list organized as a LinkedIn post by Ankit Agarwal
• How AI chatbots like ChatGPT or Bard work – visual explainer | The Guardian
• [🔥🔥] Generative AI for Beginners: introductory 12 lesson course by Microsoft
• Introduction to Generative AI: series of Medium articles by Youssef Hosni
• Animated AI: animations and instructional videos about neural networks
• Deep Learning AI - Learn the fundamentals of generative AI for real-world applications: created in partnership with AWS, this course presents the fundamentals of how generative AI works and how to deploy it in real-world applications.
• Google Cloud Skills Boost - Introduction to Generative AI: an introductory level microlearning course covering Google Tools aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.
• Google Cloud Skills Boost: Generative AI learning path: curated content on Generative AI "from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud"
• AI for Industrial Design: "students at the National University of Singapore explore AI’s capability for design in a semester course and share what they learned. Directed by Donn Koh at the Division of Industrial Design, NUS."
• Let Us Show You How GPT Works — Using Jane Austen - The New York Times
• [🔥🔥🔥] ChatGPT Prompt Engineering for Developers - DeepLearning.AI: short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) that provide best practices for prompt engineering
• [🔥🔥🔥] DAIR.AI: Democratizing Artificial Intelligence Research, Education, and Technologies
• Welcome to the 🤗 Deep Reinforcement Learning Course: a Hugging Face Course on Deep Reinforcement Learning
• Crash course in AI art generation by PromptHero: paid ($99) course focused on prompt engineering
• Visual intuition for diffusion models and AI art. #stablediffusionart #aiart #aiartwork #aiartcommunity
• The Illustrated Stable Diffusion by Jay Alammar: "gentle introduction [on] how Stable Diffusion works"
• [🔥]johnowhitaker/tglcourse: The Generative Landscape - a course on generative modelling (currently unfinished)
• Words are Images | BustBright - Machine Learning Art: 7-week Online class starting October 24th, 2022 by Derrick Schultz
• Grokking Stable Diffusion.ipynb - Colaboratory - Part 1: notebook by @johnowhitaker exploring Stable Diffusion details
• Grokking Stable Diffusion: Textual Inversion.ipynb - Colaboratory - Part 2: sequel to Grokking Stable Diffusion by @johnowhitaker that focus on Text Inversion
• GitHub - johnowhitaker/aiaiart: Course content and resources for the AIAIART course
• Implementation/tutorial of stable diffusion with side-by-side notes by labml.ai | Twitter
• Practical Deep Learning for Coders 2023 - Part II: continuation of the course focusing on the implementation of Stable Diffusion from scratch.
• Practical Deep Learning for Coders 2022 - Part I: "free course designed for people with some coding experience who want to learn how to apply deep learning and machine learning to practical problems" by Jeremy Howard

Human-AI Interaction

• UX for AI: How to Power Human Experiences with AI - Design Tool Tuesday - YouTube
• Behind-the-Design: Meet Copilot by Microsoft Design
• [🔥🔥🔥] [2310.07127] An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions: "a survey of 154 papers, providing a novel taxonomy and analysis of Human-GenAI Interactions from both human and Gen-AI perspectives".
• Guidelines for Human-AI Interaction - Microsoft Research: a set of "18 generally applicable design guidelines for human-AI" interaction

Papers Collection

• Paper Digest - ChatGPT: Recent Papers on ChatGPT
• dair-ai/ML-Papers-Explained: Explanation to key concepts in ML
• AI Reading List - Google Docs: reading list organized by Jack Soslow (@JackSoslow)
• Aman's AI Journal • Papers List: set of seminal AI/ML papers curated by Aman Chadha
• Casual GAN Papers Reading Club: Community knowledge base for Casual GAN Papers
• Casual GAN Papers: Easy to read summaries of popular AI papers
• The Illustrated VQGAN: illustrated explanation on how VQGAN works
• CLIP: Connecting Text and Images: OpenAI's explanation on how CLIP works
• VQGAN+CLIP — How does it work?. The synthetic imagery (“GAN Art”) scene… | by Alexa Steinbrück | Medium
• The Methods Corpus | Papers With Code
• https://ieeexplore.ieee.org/abstract/document/9043519: A State-of-the-Art Review on Image Synthesis With Generative Adversarial Networks
• Utilizando redes adversárias generativas (GANs) como agente de apoio à inspiração para artistas: Trabalho de Graduação de Cláudio Carvalho no Centro de Informática - UFPE
• GAN Lab: Play with Generative Adversarial Networks in Your Browser!
• [PDF] Music2Video: Automatic Generation of Music Video with fusion of audio and text | Semantic Scholar
• [PDF] Active Divergence with Generative Deep Learning - A Survey and Taxonomy | Semantic Scholar
• [PDF] Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities | Semantic Scholar

Online Tools and Applications

• Lunroo: 45+ Free AI Tools for Social Media Marketing. Save your time on routine tasks using AI.
• COUNT: AI-powered accounting for small businesses
• Competitor Research: AI tool to help companies track their competitors
• StartKit.AI: Boilerplate for quickly building AI products
• No-Code Scraper: Data Scraping without Code - Seamlessly extract data from any website with just a few simple inputs.
• BacklinkGPT: AI-powered link-building platform that helps you generate personalized outreach messages for faster link building.
• VocalReplica: AI-Powered Vocal and Instrumental Isolation for Your Favorite Tracks
• LangMagic: Learn languages from native content.
• Persuva: Persuva is the AI-driven platform to create persuasive, high-converting ad copy at scale.
• Dittto.ai: Fix your hero copy with an AI trained on top SaaS websites.
• SEOByAI: Rank Faster on Google with FREE AI SEO Tools
• SinglebaseCloud: AI-powered backend platform with Vector DB, DocumentDB, Auth, and more to speed up app development.
• TrollyAI: Create professional SEO articles, 2x faster
• WebscrapeAI: Scrape any website without code using AI
• Architecture Helper: Analyze any building architecture, and generate your own custom styles, in seconds.
• AI-Flow: Connect multiple AI models easily
• Code to Flow: Visualize, Analyze, and Understand Your Code flow. Turn Code into Interactive Flowcharts with AI. Simplify Complex Logic Instantly.
• Recast Studio: AI-powered podcast marketing assistant.
• Clipwing: A tool for cutting long videos into dozens of short clips.
• Tailor: Get a daily podcast and newsletter, created for you by an AI
• ZZZ Code AI: AI-powered free website to get any programming question answered or code generated.
• Scribble Diffusion: turn your sketch into a refined image using AI
• Paint by Text: Edit your photos using written instructions, with the help of an AI.
• Scenario AI: AI-generated game assets
• AnimalAI: custom AI-generated animal portraits (profits are directed to various wildlife conservation organizations)
• starryai: AI Art Generator App - AI Art Maker
• ProsePainter: an interactive tool to "paint with words." It incorporates guidable text-to-image generation into a traditional digital painting interface
• ProsePainter: Image + Sketching Interface + CLIP! - YouTube
• Cocreator AI: creative computer agent (in wait list)
• Runway ML: AI video creation suite
• Hotpot.ai - Hotpot.ai: set of AI Tools to post-process images
• Toonify yourself by Justin Pinkney: turn a human face into a cartoon
• deepart.io: a online tool for applying style transfer
• Artbreeder: web-based tool to generate images by breeding existing images
• Ostagram.ru: image style transfer plataform
• cleanup.pictures: remove objects, people, text and defects from any picture for free
• remove.bg: remove background from images
• Quick, Draw!: can a neural network learn to recognize doodling? A game to help NL by adding users drawing
• Nekton.ai: automate your workflows with AI
• Documind.chat: Chat with PDF using AI. Documind is a powerful chat with pdf tool that lets you ask questions from your pdf documents.
• Snowpixel: Generate Images/Videos/Animations/Audio/Music/3D Objects with Text and/or Image. Upload your own data to create custom models.
• Chatpdf.so: Talk to PDF using GPT4 AI. Chatpdf.so is a chatpdf tool that lets you do question answering on your pdf documents.
• Yona.ai: Create deeply personalized AI chatbots from your own conversations, your stories, your data. You can harness the power of your chat history to build an AI companion for a nostalgic trip down memory lane, whimsical fantasies, or any other unique purpose.
• Voicesphere: Chat with your documents to get intelligent, context specific answers.
• Tune AI: AI chat app powered by open source models
• GPT Mobile GPT Mobile is an Android app that can chat with multiple LLMs at once! Currently supports ChatGPT, Anthropic Claude, and Google Gemini.
• PageGen - An AI Page Generator with Claude AI, React and Shadcn UI. Generate web pages from text, screenshot and templates with one click.
• PerchanceStory: PerchanceStory is an AI-based interactive story generator, which generates ever-changing story endings with endless possibilities based on simple user-provided input.

Code and Programming

Vibe Coding

• filipecalegario/awesome-vibe-coding: A curated list of vibe coding references, colaborating with AI to write code.
• Andrej Karpathy on X: "There's a new kind of coding I call "vibe coding", where you fully give in to the vibes, embrace exponentials, and forget that the code even exists."
• Windsurf Editor by Codeium: agentic IDE, "where the work of developers and AI truly flow together, allowing for a co