Learn AI Together — Towards AI Community Newsletter #11
Author(s): Towards AI Editorial Team
Originally published on Towards AI.
Good morning, fellow AI enthusiasts! This week, I sat down with Tina Huang, the visionary behind the Lonely Octopus platform and a YouTube channel with over 600,000 subscribers. With her unique blend of expertise in AI and a successful freelance career, Tina offers incredible insights into using AI to enhance your learning skills and productivity. She also gives a lot of useful details for navigating the freelancing landscape in tech and helping you identify if you should be an employee, a freelancer, or an entrepreneur. This episode is a goldmine for AI enthusiasts wanting to work in this field and leverage AI to the best of its abilities.
As usual, we have some cool features from you guys on Discord, along with great extra reads- with a bit more focus on technical (applied) articles.
I wish you all an amazing weekend and a great read!
What’s AI Weekly
In this week’s What’s AI Podcast episode, Louis-François Bouchard interviewed Tina Huang, founder of the Lonely Octopus platform, a highly successful YouTube channel (600k+ subscribers) and experienced freelancer in the AI space. Tina shares insights on leveraging AI in education, the nuances of freelancing in the tech industry (build a good portfolio, find clients, the challenges, and more), and strategies for enhancing personal productivity (mostly tips to leverage ChatGPT!). If you want to navigate the technology landscape (especially AI), tune in on YouTube, Spotify, or Apple podcast!
– Louis-François Bouchard, Towards AI Co-founder & Head of Community
Learn AI Together Community section!
Featured Community post from the Discord
Dt_twenty4 is building NA.VI- an interactive AI companion with built-in plugins. It is a personal companion that understands you, adapts to your learning style, and creates a personalized learning pathway — the primary idea of NA.VI is making learning more engaging with different gamification features. It is very early access, so the slots are limited. Check it out here and support a fellow community member! Share your feedback on the model, the behavior, and UI/UX in the thread.
AI poll of the week!
This week’s results were very close! While 50 percent believe online education will replace traditional education, the other half are skeptical about such a transition. We think several online learning platforms offer amazing resources & more current and applied resources. However, the potential integration of AI into traditional education systems will likely lead to new learning opportunities. What are your thoughts? Share them in the thread on Discord!
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. Cbass3218 has been building a startup using AI/LMMs. They are seeking a tech entrepreneur who can help scale it through strategy and research. If you have good Python and web dev skills, reach out in the thread!
2. Tifavimatti wants to work on a comic or film using AI. They are looking for a partner to work on the project and meet people interested in creating something. If this sounds fun, discuss it in the thread!
3. Boltuzamaki is an NLP engineer looking for interested folks who want to learn generative AI techniques. They want to explore text and vision models, research, and focus on development. If you are interested, connect in the thread!
Meme of the week!
Meme shared by ghost_in_the_machine
TAI Curated section
Article of the week
Neural networks are a type of machine model inspired by the structure of the human brain. Like our brains, neural networks are neurons that work together to accomplish various tasks. This article implements a neural network from scratch, reviewing concepts like derivatives, gradient descent, and backward propagation of gradients.
Our must-read articles
The author compiles one year of experience building and scaling customer-facing GenAI applications in this article. It lists five practical tips with code examples you can implement to improve the speed, safety, and reliability of your Large Language Model (LLM) GenAI application.
Chat analyzer makes extracting meaningful insights from our group chats extremely simple. Chat Analyzer uses Streamlit and Plotly for detailed analytics on chat data, from basic stats to complex text analysis, to reveal user trends and engagement, including emoji use to understand digital communication.
The article details how Docker Compose streamlines development, enhancing workflows for teams to focus on data science over setup tasks. It is a must-read for developers looking to enhance machine learning workflows and reduce errors with tips for better model efficiency and experiment management.
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