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

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.   Whats AI WeeklyThis week in Whats AI  I explore why the old one-size-fits-all strategy in ads and marketing is obsolete and how AI is revolutionizing marketing by making it personal and engaging.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-Franois Bouchard  Towards AI Co-founder & Head of Community   This issue is brought to you thanks to GrowthSchool:   200+ hours of research on AI tools & hacks packed in 3 hours   This free 3-hour Mini Course on AI & ChatGPT (worth $399) will help you become a master of 20+ AI tools & prompting techniques and save 16 hours/week.   Get it now for absolutely free! (for first 100 users only) U+1F381   This course will teach you how to:   Build a business that makes $10 000 by just using AI toolsMake quick & smarter decisions using AI-led data insightsWrite emails  content & more in seconds using AISolve complex problems  research 10x faster & save 16 hours every weekRegister & save your seat now! (100 free seats only)   Learn AI Together Community section!Featured Community post from the DiscordNotedance 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 OpportunitiesThe 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). Diamhamstras 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 sectionArticle of the weekBuilding 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 articles1. 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 whats possible in generative tasks!   2. Beyond LLMs: Compounds Systems  Agents  and Whole AI Products by Adel Zaalouk   This post internalizes Moores 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.   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.