#36 A Framework for Building Scalable AI Products, Best AI Tools for Marketers, ML Library, and more!

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

Good morning, AI enthusiasts! This week, we have curated an interesting mix of resources around using AI for businesses, building AI products, and understanding AI models, along with exciting collaboration opportunities.

What’s AI Weekly

This week in What’s AI, I explore why the old one-size-fits-all strategy in ads and marketing is obsolete and how AI is revolutionizing marketing by making it personal and engaging. I also share a list of the best AI tools (for marketers) out there. Read the complete article here or watch the video!

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

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Learn AI Together Community section!

Featured Community post from the Discord

Notedance built Note, a machine learning library that makes the building and training neural networks easy and flexible. It can be used for deep learning, and reinforcement learning, and allows you to train agents built with Note, Keras, or PyTorch using reinforcement learning. Check it out on GitHub and support a fellow community member. If you have any questions or feedback, share it in the thread!

AI poll of the week!

Towards AI has been completely remote since its inception, and we would love to understand if there is any efficiency/job search related query we can help you with. Share it in the thread on Discord and we will respond.

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. Rubikoni is looking for a learning partner to study deep learning, share resources, and collaborate on projects. If this aligns with your learning journey, reach out in the thread!

2. Urfavalm is developing an AI-based mobile app to help people with disabilities and is looking for one or two developers with experience in mobile app development and NLP or computer vision. If you are interested, contact them in the thread!

3. If you are building a product with AI/ML models with a good concept, this is an opportunity to cover the costs for training or inferencing the model (preferably B2B). Diamhamstra’s startup has 30,000 GPUs distributed over all major continents to avoid latency issues. If you are building something exciting, connect in the thread!

Meme of the week!

Meme shared by hitoriarchie

TAI Curated section

Article of the week

Building a Productized AI Chatbot for Credit Card Business by Shenggang Li

This post will show how technologies like Chainlit, Docker, and ConversationBufferWindowMemory combine to create a powerful AI chatbot that transforms customer support for credit cards. This setup can also be easily adapted for other businesses, like retail.

Our must-read articles

1. Can Mixture of Experts (MoE) Models Push GenAI to the Next Level? by Nick Minaie, PhD

Have you heard about the potential of Mixture of Experts (MoE) models in advancing Generative AI? This article explores how MoE can enhance performance and efficiency in AI systems, pushing the boundaries of what’s possible in generative tasks!

2. Beyond LLMs: Compounds Systems, Agents, and Whole AI Products by Adel Zaalouk

This post internalizes Moore’s model, expands it, and shows how it can be applied specifically to AI products. It also dives into the trade-offs inherent in building AI applications and illustrates these concepts with real-world examples. A great read to get a mental model and a framework for building great/usable AI products.

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Published via Towards AI