Learn AI Together — Towards AI Community Newsletter #10

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

This week, I had a fantastic discussion with Mariam Brian, an amazing artist and CEO of Holo Art. This episode is perfect for those curious about how AI is not just a tool but a collaborator in the creative process, transforming traditional art forms and pioneering new expressions of creativity. Whether you’re an artist, technologist, or simply an AI enthusiast, this episode offers a unique perspective on how technology and human creativity are becoming increasingly intertwined.

This week, the community was active, with exciting contributions and opportunities. The featured post on Blam’s VideoSum, a new video summarizer, captures our community’s innovative spirit! I’d also chat about procrastination. I know it’s something we all deal with, so I’m curious: how do you tackle it? Share your thoughts in this week’s poll! Remember to explore the collaboration opportunities in our Discord community if you want to join an AI startup or seek a study partner!

Enjoy the read!

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

What’s AI Weekly

In this week’s What’s AI Podcast episode, Louis-François Bouchard interviewed Mariam Brian, CEO of Holo Art, exploring how AI intertwines with art, science, and human creativity. This episode focuses on the innovative integration of AI in art and how it’s reshaping artistic boundaries. Mariam highlighted the versatility of AI in art and how AI tools can now emulate traditional art techniques and generate unique, avant-garde forms of expression. She also touched upon the ethical dimensions of AI in art. It’s a must-listen for anyone interested in how our relationship with technology evolves and shapes our future. Tune in now on YouTube, Spotify, or Apple Podcasts for a deeper understanding and fresh perspectives on AI’s role in art.

Learn AI Together Community section!

Featured Community post from the Discord

Blam just created a video summarizer called VideoSum. It works for videos of any length and provides well-organized summaries that extract key concepts, highlights, keywords, channel information, and other relevant data from videos and shorts. It works on all videos, and the summaries are expandable as well. Check it out here and support a fellow community member. Share your thoughts or questions in the thread!

AI poll of the week!

We tried something different with the poll this week! A little reliability helps with the fear of not getting things done. Share how you deal with procrastination, or find inspiration in the thread!

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. Myghty is working on an AI Startup called CogSync. They are looking for a backend developer, a technical writer, and a SOC analyst. If you are passionate about working in AI and have the technical skills and passion for these roles, connect with them in the thread!

2. Winnerikpe is diving deeper into Artificial Intelligence and Machine Learning and hopes to find some awesome learning partners. If you are passionate about AI/ML and looking for a teammate to explore, contact them in the thread!

3. PhiBi is currently making a Transformer network for image captioning by implementing an encoder, decoder, and attention from scratch. They are now facing a problem with the network. If you think you can help, get in touch in the thread!

Meme of the week!

Meme shared by bin4ry_d3struct0r

TAI Curated section

Article of the week

Building a YoutubeGPT with LangChain, Gradio, and Vector Database by Yanli Liu

This article discusses the GenAI Application Development Stack, a key to creating customized AI solutions. It also explores key components like LangChain, Gradio, and Vector Database. Through a practical, step-by-step guide, the author will teach you to build a YouTubeGPT, showing how these technologies work together to create an AI application. By the end of this guide, you’ll understand how to use this technology stack for building AI applications and gain insights into their internal workings.

Our must-read articles

1. How To Make a Synthesized Dataset To Fine-Tune Your OCR by Eivind Kjosbakken

Fine-tuning your OCR engine to your specific use case is required to achieve state-of-the-art performance for your situation. Fine-tuning an OCR engine requires a large dataset, which is expensive to annotate. Instead, you can create your own fully synthetic dataset, requiring no annotating, which I will show you how to do in this article.

2. LLM Researcher and Scientist Roadmap: A Guide to Mastering Large Language Models Research by Youssef Hosni

This comprehensive article serves as a roadmap for aspiring LLM researchers and scientists, offering a step-by-step guide to mastering the intricacies of Large Language Models (LLMs) to take your first step as a researcher in this field.

3. Clustering unveiled: The Intersection of Data Mining, Unsupervised Learning, and Machine Learning by Anand Raj

Clustering in Data Mining and Machine Learning reveals patterns by grouping data based on shared traits without predefined categories. Algorithms autonomously find groupings, and metrics like the Dunn index assess their precision. Master clustering with this guide covering foundation and practical use. Discover the ideal algorithm for your data needs.

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Published via Towards AI