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Learn AI Together — Towards AI Community Newsletter #22
Artificial Intelligence   Latest   Machine Learning

Learn AI Together — Towards AI Community Newsletter #22

Last Updated on May 7, 2024 by Editorial Team

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

Good morning, AI enthusiasts! There’s been a lot of exciting stuff happening in ‘real-world AI’ in the last few weeks. The last few weeks have seen a massive increase in the number of open source releases with DBRX, Jamba, Qwen1.5, Samba-CoE v0.2, Starling-LM-7B-beta, xAI’s Grok 1.5, Mistral’s 7B v2, Wild 1-bit and 2-bit quantization with HQQ+, Llama 3, and now Phi-3. This is quite exciting for everyone in AI, especially our community. I’m trying to keep up with it all, but I would love to hear your thoughts on this shift of focus towards the open models.

In our ‘Learn AI Together’ parallel universe, some exciting things are happening this week, with interesting projects and opportunities, a slightly different and nostalgic poll, and, of course, the hands-on tutorials and blogs.

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

Learn AI Together Community section!

Featured Community post from the Discord

Laetitiadelbanio has launched a startup focused on neuro-symbolic AGI. HybridAGI is a Programmable LLM-based Autonomous Agent that lets you program its behavior using a graph-based prompt programming approach. It can self-refine its own prompt automatically and remember its programs, can execute, or modify them dynamically. If you are curious about LLMs and AGI, check this project out on GitHub.

Share your thoughts and questions in the thread!

AI poll of the week!

Sometimes, it is nice to go back to where it all began. We are inviting you to vote and think about the beginnings and are so excited to hear fun stories and anecdotes about what got you into AI! Share your journey in the thread!

Also, we know we might not respond to each one of you, but please know we read everything, and your messages are a huge source of fuel for us.

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. Uknowwhoab1r is looking for a team of people to build a global scalable product. He is currently working on a Code Pattern Analyst, a specialized tool designed with GPT-4 to dissect precisely and recognize design patterns within C/C++ and JavaScript code sniision. If this seems like an interesting collaboration, connect with him in the thread!

2. Naphkamina is looking for someone with a bachelor’s in CS, Math, or a related field to develop an educational method in perceptual illustration mnemonics. If this is relevant to you, reach out to them in the thread!

3. Proj3ctg is seeking someone with good prompt engineering, AI, and Python skills. For details on the project, contact them in the thread!

Meme of the week!

Meme shared by ghost_in_the_machine

TAI Curated section

Article of the week

Llama 3 + Groq is the AI Heaven by Vatsal Saglani

This blog explains how to create a backend for Generative AI News Search. We’ll use Meta’s Llama-3 8B model served via Groq’s LPU, leveraging the speed increase provided by Groq and Llama 3’s text-generation capabilities to create a Generative AI News Search similar to Bing AI Search, Google AI Search, or PPLX.

Our must-read articles

1. How to Build an Air-gapped LLM-based AI Chatbot in Containers Step-by-Step by Mélony Qin

This blog post shares how to build an Air-gapped LLM-based AI Chatbot in Containers Step-by-Step by leveraging open-source technologies such as Ollama, Docker, and the Open WebUI.

2. A Comprehensive Comparison Between OPen-Source Vector Databases by Youssef Hosni

Choosing the right vector database can be a daunting task. With numerous options available, it’s crucial to understand the nuances and considerations involved in making an informed decision. This article provides a comprehensive comparison between four important open-source vector databases to help you select the vector database that best aligns with your specific needs and requirements.

3. Introduction of Neural Style Transfer — A Pioneer in Generative AI by Vincent Liu

Neural Style Transfer (NST) was born in 2015 [2], slightly later than GAN. It generates a new image by combining the content and style from different images. It is one of the first algorithms to combine images based on deep learning. This article will go through each component in NST.

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