Learn to Build — Towards AI Community Newsletter #1

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

We are excited to announce our newest newsletter! It’s all about us — the community. We will share a roundup of interesting stuff like collaboration opportunities, incredible articles, polls, and unique projects from our members. No frills, just good stuff. Let’s Grow as a Community. Join the collective here!

Learn to Build — Towards AI Community Newsletter

Welcome again to this first iteration of our community newsletter — a now separated entity from our usual weekly news/paper-oriented newsletter. This one is all about you, members of the Towards AI family, with some touch from the What’s AI family for those of you following my work on YouTube as well.

I am excited to hear your feedback on this first try of ours. Be ready to discover amazing projects and collaboration opportunities from the Learn AI Together Discord server members and keep learning with the best articles we’ve published every week. By the way, you can be featured here as well! How? Just be active on our discord and exchange/share what you do with us there!

Now, let’s dive right into it with this week’s podcast episode featuring my friend Paige Bailey, product manager at Google DeepMind, one of the coolest companies in the field (in my opinion).

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

What’s AI Weekly

In this week’s What’s AI Podcast episode, Louis Bouchard interviewed Paige Bailey, Lead product manager at Google DeepMind and previously working at Microsoft GitHub building Copilot. In this episode, they discussed the democratization of AI, advancements in AI-assisted coding, and the ethics of innovation. Paige also discussed the need for responsible AI development, the importance of careful product design around LLMs, the role of a product manager within AI research teams, and much more. If you want to discover how AI is subtly reshaping our everyday experiences and the realm of software engineering, tune in on YouTube, Spotify, or Apple Podcasts.

Learn AI Together Community section!

Featured Community post from the Discord

Aminkamali recently published the second article of their three-part blog series on creating an AI assistant to summarize YouTube videos. This post dives into the intricate process of taking the video’s transcript and summarizing it using LangChain and Hugging Face. It covers the fundamentals of text summarization, making inferences efficiently with limited resources using quantization or remotely using Hugging Face API calls, as well as some thoughts on the design decisions and how they might change with technological advancements in the future. Read the full blog here and support a fellow community member! Share in the thread if you found it helpful.

AI poll of the week!

Join the discussion on Discord.

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. Ansh7974 is completing PhD in MLLM (Multi-Modal Large Language Models) and looking for a research partner for MLLM model development. They are currently working on a variant of finetuning like LORA, LOHA, RepAdapter, etc. Reach out in the thread here.
2. Samyssmile is building EDUX, an open-source Java ML Library, and is looking for developers and testers. If you have a solid foundation in Java, connect with them in the thread here.
3. Akash2927 is working on an AI tool to recognize AI-made and human-made videos on Twitter and YouTube and is currently looking for a co-founder to work with them. If you are excited by AI, coding, and Machine Learning, join the project in the thread here.

Meme of the week!

Meme shared by rucha8062

Upcoming Community Events

The Learn AI Together Discord community hosts weekly AI seminars to help the community learn from industry experts, ask questions, and get a deeper insight into the latest research in AI. Join us for free, interactive video sessions hosted live on Discord weekly by attending our upcoming events.

1. How to Deploy a Gradio App on HuggingFace

This week on Discord, Jeremy Pinto (@jerpint) will show you how to work with Gradio on Hugging Face. Discover how Gradio, an easy-to-use interface toolkit integrated with Hugging Face, enables you to bring Large Language Model (LLM) applications to life with minimal effort. Learn why this powerful combination is a game-changer for anyone looking to develop and share AI-powered applications rapidly. Join the live this Sunday (in just 3 days)!

Date & Time: 19th November, 10 am EST

Add our Google calendar to see all our free AI events!

TAI Curated section

Article of the week

SALMONN, The First AI Model that Hears As Humans Do by Ignacio de Gregorio

SALMONN is the first-ever multimodal audio-language AI system for generic hearing. This model can process random audio signals from the three main sound types: speech, audio events, and music. Although, at first glance, SALMONN looks similar to how other Multimodal LLMs are trained, it has some important distinctions that are discussed in the articles

Our must-read articles

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Top Important LLM Papers for the Week from 30/10 to 5/11 by Youssef Hosni

Top Important Computer Vision Papers for the Week from 30/10 to 5/11 by Youssef Hosni

Start with Large Language Models (LLMs) in 2023 by Louis Bouchard

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