Generative Models and Search Engines Resources, Code, Guides, Tutorials, Lists ... : Images, Text, Audio, Video - Links

[Twenkid]

Links about all kind of models, but the preference is for ones which can be practically applied with less resources etc.

Images

• Free Stable Difussion online - but no fine control: https://stablediffusionweb.com/

• Lexica: Search engine of generated images by prompts https://lexica.art/?q=thing https://lexica.art/docs

SceneScape: Text-Driven Consistent Scene Generation - Anonymous Authors https://scenescape.github.io/?fbclid=IwAR3aEDbGgW47_8AkJb5_2G8I_un6-aKyrz98_HELwJZG1ObVNdH8NqL5izo

• Stable Diffusion notebook (currently only for Twenkid) https://colab.research.google.com/drive/1FZD88gaYP-gEPytV38fZ1QiXB9hiXuq2#scrollTo=REF_yuHprSa1

Text

https://chat.openai.com/chat https://openai.com/blog/chatgpt/ https://gpt3demo.com/apps/openai-gpt-3-playground https://github.com/Twenkid/GPT2-Bulgarian-Training-Tips-and-Tools

The Pile: An 800GB Dataset of Diverse Text for Language Modeling https://arxiv.org/pdf/2101.00027.pdf

Speech & Voice

https://beta.elevenlabs.io/

Prime Voice AI The most realistic and versatile AI speech software, ever. Eleven brings the most compelling, rich and lifelike voices to creators and publishers seeking the ultimate tools for storytelling.

Music

MusicLM: Generating Music From Text [2301.11325] MusicLM: Generating Music From Text - arXivhttps://arxiv.org › cs by A Agostinelli · 2023 — MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence modeling task, and it generates music at 24 kHz .. https://google-research.github.io/seanet/musiclm/examples/

[Twenkid]

Yannic Cilcher's project "Open Assistant", ChatGPT-like dialog system:

Open Assistant Inference Backend Development (Hands-On Coding) https://www.youtube.com/watch?v=6OozhhI6U4g

[Twenkid]

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT YIHAN CAO∗ , Lehigh University & Carnegie Mellon University, USA SIYU LI, Lehigh University, USA YIXIN LIU, Lehigh University, USA ZHILING YAN, Lehigh University, USA YUTONG DAI, Lehigh University, USA PHILIP S. YU, University of Illinois at Chicago, USA LICHAO SUN, Lehigh University, USA

7 Mar 2023

https://arxiv.org/pdf/2303.04226.pdf

[Twenkid]

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter Fei Xia Ed H. Chi Quoc V. Le Denny Zhou Google Research, Brain Team {jasonwei,dennyzhou}@google.com Abstract We explore how generating a chain of thought—a series of intermediate reasoning steps—significantly improves the ability of large language models to perform complex reasoning. In particular, we show how such reasoning abilities emerge naturally in sufficiently large language models via a simple method called chain-ofthought prompting, where a few chain of thought demonstrations are provided as exemplars in prompting. (...)

https://arxiv.org/pdf/2201.11903.pdf

...

In my unpublished line of research there is a... "chain of thought" called "path of thought" or "tracing of the thought" and other paths of other "things", as well a so called "chain of [...]", but what exactly is a topic for a future discussion.