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New uses of ChatGPT are exploding on the marketplace. Here are inspirational ideas to get you going. New uses of ChatGPT are exploding on the marketplace.

Large image-text models like ALIGN, BASIC, Turing Bletchly, FLORENCE & GLIDE have shown better and better performance compared to previous flagship models like CLIP and DALL-E. Most of them had been trained on billions of image-text pairs and unfortunately, no datasets of this size had been openly available until now. To address this problem a team of programmers present LAION 5B, a large-scale dataset for research purposes consisting of 5,85B CLIP-filtered image-text pairs. 2,3B contain English language, 2,2B samples from 100+ other languages and 1B samples have texts that do not allow a certain language assignment (e.g. names). Additionally, they provide several nearest neighbor indices, an improved web interface for exploration & subset creation as well as detection scores for watermark and NSFW. They also announced a full reproduction of a clip training trained on LAION-400M at open_clip. Explore the dataset at the search demo site. See also the same post on laion website .

Collaborators and sponsors include hugging face, doodlebot and stability. The developers also want to thank the-eye.eu for hosting the image embeddings and a copy of the whole dataset.

Want to give ChatGPT a try? Here are 10 cool things you can do with ChatGPT including writing music, debugging code, and more.

Do you know about ChatGPT? It’s a powerful and versatile language processing tool that can do some pretty cool things. From having a conversation with a virtual assistant to generating text based on a prompt, ChatGPT can be used for a wide range of applications. In this article, we’ll explore some of the cool things you can do with ChatGPT and show you how it can benefit you and your business. Whether you’re a beginner or an experienced user, we’re sure you’ll be impressed by the capabilities of this AI conversational bot. So let’s dive in and discover the cool things you can do with ChatGPT.

Lecturers: Graham Neubig, Shinji Watanabe, Alan Black

Students who take this course should be able to develop linguistically motivated solutions to core and applied NLP tasks for any language. This includes understanding and mitigating the difficulties posed by lack of data in low-resourced languages or language varieties, and the necessity to model particular properties of the language of interest such as complex morphology or syntax. The course will introduce modeling solutions to these issues such as multilingual or cross-lingual methods, linguistically informed NLP models, and methods for effectively bootstrapping systems with limited data or human intervention. The project work will involve building an end-to-end NLP pipeline in a language you don’t know.

Pre-requisites: You must have taken an NLP class previously. Some examples include: Undergrad Natural Language Processing Algorithms for NLP Neural Networks for NLP The assignments for the class will be done by creating neural network models, and examples will be provided using PyTorch. If you are not familiar with PyTorch, we suggest you attempt to familiarize yourself using online tutorials (for example Deep Learning for NLP with PyTorch) before starting the class.

Slides/References: http://phontron.com/class/multiling2022/schedule/introduction.html

Remote work is the future. There are millions of remote jobs out there. Here are 20 sites to get a remote job that pays in USD

Don’t have much time to learn Python? Cheat sheets to the rescue! Cheat sheets are among the most efficient ways to acquire knowledge. A great cheat sheet focuses on the key learning material and skips the rest. If you read over them every day, you’ll quickly learn new ideas. In this article, we’ll share the top Python cheat sheets with you.

Google releases a lot of products, but it shuts down a lot of them, too. Some didn’t deserve to be discontinued (we pine for the days of Reader and Inbox), and some probably weren’t long for this world from the start. (What was Google Wave supposed to be, anyway?) The company actually used to shut down products with quarterly “spring cleanings,” but now, it just does so whenever it’s time for another product to be put out to pasture.

Follow along here for all our coverage of everything Google sends to its graveyard.

https://github.com/huggingface/diffusers

Diffusers provides pretrained diffusion models across multiple modalities, such as vision and audio, and serves as a modular toolbox for inference and training of diffusion models.

More precisely, 🤗 Diffusers offers:

• State-of-the-art diffusion pipelines that can be run in inference with just a couple of lines of code (see src/diffusers/pipelines). Check this overview to see all supported pipelines and their corresponding official papers.
• Various noise schedulers that can be used interchangeably for the prefered speed vs. quality trade-off in inference (see src/diffusers/schedulers).
• Multiple types of models, such as UNet, can be used as building blocks in an end-to-end diffusion system (see src/diffusers/models).
• Training examples to show how to train the most popular diffusion model tasks (see examples, e.g. unconditional-image-generation).

This is a video recording of from the NeurIPS 2020 Tutorial - Deep Implicit Layers: Neural ODEs, Deep Equilibrium Models, and Beyond - by David Duvenaud, Zico Kolter, and Matt Johnson. Full information about the tutorial, including extensive notes in Colab notebook form, are available on our website: https://implicit-layers-tutorial.org

ml4a is a collection of tools and educational resources for making art with machine learning.

This course will teach you about natural language processing (NLP) using libraries from the Hugging Face ecosystem — 🤗 Transformers, 🤗 Datasets, 🤗 Tokenizers, and 🤗 Accelerate — as well as the Hugging Face Hub. It’s completely free and without ads.

Here are 52 best Google Chrome extensions and plugins for 2022, including extensions for productivity, new tab, privacy, etc.

A fascinating new AI application that has been recently released and is generating a lot of buzz. It is an AI chatbot developed by OpenAI that specializes in dialogue and its main goal is to make AI systems more natural to interact with — and it literally knows everything!

The internet has already been flooded with new tools and extensions powered by this freshly launched service that can make your daily tasks way easier — and improve your final output. However, here are 6 different ways to enhance your interaction with ChatGPT.

Welcome to the “Awesome ChatGPT Prompts” repository! This is a collection of prompt examples to be used with the ChatGPT model.

The ChatGPT model is a large language model trained by OpenAI that is capable of generating human-like text. By providing it with a prompt, it can generate responses that continue the conversation or expand on the given prompt.

In this repository, you will find a variety of prompts that can be used with ChatGPT. We encourage you to add your own prompts to the list, and to use ChatGPT to generate new prompts as well.

To get started, simply clone this repository and use the prompts in the README.md file as input for ChatGPT. You can also use the prompts in this file as inspiration for creating your own.

We hope you find these prompts useful and have fun using ChatGPT!

View on GitHub

View on Hugging Face

The Illustrated Stable Diffusion

The new Stable Diffusion 2.0 release features many improvements, including new base models, a 4x upscaling model, and a depth-guided stable diffusion model. These new models offer many creative possibilities for image transformation and synthesis.

New features in v2 include:

• •Base 512x512 and 768x768 models trained from scratch with new OpenCLIP text encoder
• X4 upscaling text-guided diffusion model

New “Depth2Image” functionality

Blog: https://t.co/o3udlBN8uz

This release is led by @robrombach @StabilityAI

The new SD2 base model is trained from scratch using OpenCLIP-ViT/H text encoder (https://t.co/KITMz1bkYX), with quality improvements over V1. It is fine-tuned using v-prediction (https://t.co/MNYGSNbht1) to produce 768x768 images.

A new 4x up-scaling text-guided diffusion model, enabling resolutions of 2048x2048 (or even higher!), when combined with the new text-to-image models in this release.

Made possible using Efficient Attention in (https://t.co/32q10tgJTS).

This current model is conditioned on monocular depth estimates inferred via MiDaS (https://t.co/lnqy1UMVbb) and can be used for structure-preserving img2img and shape-conditional synthesis. There’ll be so many creative uses for this. For example, the depth2image model can be used to transform Emad (@EMostaque) into various things.

Depth2Image can offer all sorts of new creative applications, delivering transformations that look radically different from the original but which still preserve the coherence and depth of that image: https://t.co/N22OkVXkFJ

Also included is a new text-guided inpainting model, fine-tuned on the new Stable Diffusion 2.0 base text-to-image, which makes it super easy to switch out parts of an image intelligently and quickly: https://t.co/WjcjvQk5JV

Just like version 1, the model can run on one GPU. That feature makes it accessible to as many people as possible from the very start. When millions of people get their hands on these models, they collectively create some truly amazing things.
https://t.co/rN4m2eVdUm

General professional Web sites relevant to extrasolar planets

1. Exoplanets: an interactive version of XKCD 1071
   
   
2. Exoplanets in binaries and multiple systems   (Richard Schwarz )
   
   
3. Naming exoplanets (IAU)  
   
   
4. California & Carnegie Planet Search
   Extrasolar Planet Research at San Francisco State University
   The Anglo-Australian Planet Search
   
   
5. Geneva Extrasolar Planet Search Programmes
   
   
6. NASA's Exoplanet Exploration Program
   
   
7. Forum on extrasolar planets Archives
   dedicated to professional infos on extra-solar planets; maintained by Fabien Malbet and Jean Schneider, France
   
   
8. ExoMol
   
   
9. The Habitable Zone Gallery
   
   
10. Habitable Zones in Multiple Star Systems   (Mueller & Haghighipour)
    
    
11. List of Surface biosignatures of exo-Earths (Hedge et al.) 
    
    
12. List of Brown Dwarfs (by Wm. Robert Johnston)
    
    
13. K2 Light Curves surveys   (HAT Team)
    
    
14. HUNTER Habitable zone UNcerTainty EstimatoR (Andreas Zsom)
    
    
15. Planets around giant stars   (Sabin Reffert)
    
    
16. Mass-radius Forecaster   (Jingjing Chen)
    
    
17. The California-Kepler Survey
    
    
18. Topography of (exo)planets
    From Landais, Schmidt & Levejoy MNRAS 2019 paper
    
    
19. Resolved debris discs Nicole Pawellek (MPIA Heidelberg, Germany) and Alexander Krivov (AIU Jena, Germany)
    
    
20. The Circumstellar Disk Learning Site Paul Kalas
    
    
21. Circumstellar Disks
    
    
22. Exoplanet Modeling and Analysis Center (EMAC)
    
    
23. Robo-AO KOI Survey   LGS-AO imaging of every Kepler planetary candidate
    
    
24. TRAPPIST-1 JWST Community Initiative
    
    
25. Exoplanets Sheet (Charlie Shread)
    
    
26. SPHERE Reduced Data  
    
    
27. ExoAtmospheres IAC Spain
    
    
28. Nfold - Network for Life Detection  
    
    
29. ExoPAG News and Announcements - Archiver  
    
    
30. DYNAMITE Alien Earths  
    
    
31. Project Blue  
    
    
32. EXOPLANETS-A  
    
    
33. Where is the planet ?
    
    
34. DIVA Database High Contrast Imaging
    
    
35. GSFC Exoplanet Modeling and Analysis Center (EMAC)  
    
    
36. Gaia: essays & interviews   (Michael Perryman)
    
    
37. Transit Srvice Query Form  

Visual summaries, data visualizations, and illustrated explorations to enhance and complement work published across our journals.

Infographics are here

After the 'top AI books' reading list was so well received, we reached out to some of our community to find out which papers they believe everyone should have read!

All of the below papers are free to access and cover a range of topics from Hypergradients to modeling yield response for CNNs. Each expert also included a reason as to why the paper was picked as well as a short bio.

Part 1

Part 2

Visual summaries, data visualizations, and illustrated explorations to enhance and complement work published across journals.

Udemy is one of the largest online learning platforms for professional learning. According to the company, they have 35 million registered users. An analysis by Class Central shows they have launched over 157,000 courses since 2010.

The pandemic has boosted the fortune of many online providers. Udemy is no exception. In 2020 alone, the company raised $123 million and increased its valuation by over $1 billion. Overall, the company has raised ~$300 million at a valuation over $3 billion.

Class Central also experienced a quarantine boost: of all the people who ever used Class Central, 40% did so for the first time in 2020. After focusing exclusively on MOOCs or Massive Open Online Courses for the last nine years, they are ready to expand to other kinds of online courses.

The European Space Agency (ESA), by way of its Science Programme, provides Europe with the tools to be a world leader in space science. The scientific community defines the Programme through a bottom-up process involving periodic invitations to propose ideas for the most important scientific topics to be addressed in the coming decades.

The success of the current Science Programme is built on the Horizon 2000, Horizon 2000+, and Cosmic Vision community consultations, which started in 1984, 1994, and 2005 respectively. The most recent consultation, Voyage 2050, began in 2019 with a call to the community for ideas for science themes that could or should be addressed by 2050. The call generated close to 100 diverse and ambitious ideas, submitted to ESA as White Papers, most of which are included in this two-part Special Issue of Experimental Astronomy.

There are many ways to share files between people and devices. With these 15 tools, you can share files quickly without app downloads, account registrations, or any cloud storage setups.