Learn AI Together — Towards AI Community Newsletter #19

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

Good morning, AI enthusiasts! After a much-needed break last week, we are back with exciting collaboration opportunities, some of our best articles written by AI experts worldwide, and fun discussions on our AI polls. Hope you enjoy the read!

What’s AI Weekly

This week in What’s AI, I dive into Mistral’s Mixture of Experts model. First things first, what you know about Mixture of Experts is wrong. We are not using this technique because each model is an expert on a specific topic. In fact, each of these so-called experts is not an individual model but something much simpler. In this article, I tried to explain the MoE model as simply as possible and clarify some misconceptions around it. Check out the full article here or watch it on YouTube.

-Louis-François Bouchard, Towards AI Co-founder & Head of Community

Learn AI Together Community section!

Featured Community post from the Discord

Tristanlecourtois created a repository using machine learning (ML) to develop a self-diagnostic endometriosis tool based solely on patient-reported symptoms. The goal is to create an easy-to-use model for women in the early stages of medical investigation, providing a preliminary indication of their likelihood of having endometriosis. Check it out on GitHub and support a fellow community member. Share your questions and feedback in the Discord thread!

AI poll of the week!

Since most users still rely on Google to find information, would you consider paying for Google Search? Tell us in the discussion thread, and for those who said ‘other,’ we are curious to know your sources!

Collaboration Opportunities

The Learn AI Together Discord community is flooding with collaboration opportunities. If you are excited to dive into applied AI, want a study partner, or even want to find a partner for your passion project, join the collaboration channel! Keep an eye on this section, too — we share cool opportunities every week!

1. sLooW is looking for someone to join an AI practice for training and learning. If you have some good ideas and want to work on practical projects, connect with them in the thread!

2. Moooosaa just completed the AI Engineering foundation course from Codecademy and wants a partner to complete the final project. If you are interested, reach out to them in the thread!

3. Arcangelo is looking for an experienced dev to build an e-commerce chatbot with complex features. If this sounds exciting, contact them in the thread!

Meme of the week!

Meme shared by rucha8062

TAI Curated section

Article of the week

A Journey Through Time Series, RNNs, LSTMs to the Pinnacle of Attention Mechanisms by Shenggang Li

Approaching Transformers and advanced language models for the first time can seem formidable. This post simplifies this complexity into something more approachable, starting with the basics of encoding and decoding, then RNNs and LSTMs, and further into the game changers, transformers, and attention models.

Our must-read articles

1. Face Off: Practical Face-Swapping with Machine Learning by Aliaksei Mikhailiuk

The author first explains face-swapping at the workplace and working on a face-swap lens. Diving deep into the subject, he has realized that there is a myriad of technological branches that address various parts of the problem. This article focuses on three main questions: What matters for a high-quality face swap method? What has been done in the past? And what to do in practice?

2. All You Need to Know about Sensitive Data Handling Using Large Language Models by Hussein Jundi

An estimated 328.77 million terabytes of data are created daily. Much of that data flows to data-driven applications, which process and enrich it every second. The increased adoption and integration of LLMs across mainstream products further intensified the use cases and benefits of utilizing text data. This article focuses on sensitive data handling using LLMs.

3. Sora AI: Unraveling Sora’s Architecture and Working Intuitively! by Prashant Kalepu

Sora AI by OpenAI is a new text-to-video generative AI model that has gained considerable interest and focus during the past few days. In this blog, we will explore Sora AI, its applications, and primarily, the model architecture based on my research from various online sources, the official website, and my personal knowledge and experiences.

If you are interested in publishing with Towards AI, check our guidelines and sign up. We will publish your work to our network if it meets our editorial policies and standards.

Think a friend would enjoy this too? Share the newsletter and let them join the conversation.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI