Looking for ways to spark valuable knowledge sharing in your AI community? These Recommend a Resource templates make it easy for members to share the tools, articles, and videos that help them most. Empower your group to discover new resources together and build collective expertise.
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Inviting members to recommend resources taps into the natural desire to help others and share personal discoveries, fostering a sense of contribution and belonging. When people explain how or why a resource benefits them, it encourages deeper discussion and practical knowledge transfer, making the community more valuable for everyone. This approach also surfaces a diverse range of helpful materials, enabling members at all experience levels to find something relevant, and making the community a go-to place for the latest in AI.
By making resource sharing a regular practice, you encourage ongoing participation and reduce barriers for lurkers or newer members to join the conversation. People appreciate actionable value, and learning how peers apply resources in real-world AI projects can inspire them to try new things. This builds trust, strengthens relationships, and keeps engagement high.
What is one AI resource you keep coming back to? Share the link and why it stands out.
💡 Example: "What is one AI resource you keep coming back to? Share the link and why it stands out. For me, it's the Hugging Face Model Hub - so many great models in one place."
Found a helpful AI tool or app lately? Recommend it here and tell us how you use it.
💡 Example: "Found a helpful AI tool or app lately? Recommend it here and tell us how you use it. I recently started using Runway for video editing automation."
Which AI newsletter do you never miss? Drop the name and share what you like about it.
💡 Example: "Which AI newsletter do you never miss? Drop the name and share what you like about it. I always read The Batch for practical ML updates."
Share your favorite AI podcast episode and what you learned from it.
💡 Example: "Share your favorite AI podcast episode and what you learned from it. Lex Fridman's interview with Andrej Karpathy inspired me to try new architectures."
Have you discovered any must-read AI articles this week? Post the link and your key takeaway.
💡 Example: "Have you discovered any must-read AI articles this week? Post the link and your key takeaway. I liked 'Attention is All You Need' for its clear explanation."
Which open-source AI project are you excited about right now? Tell us what makes it special.
💡 Example: "Which open-source AI project are you excited about right now? Tell us what makes it special. I'm following LangChain for agent-based LLMs."
Is there a YouTube channel that helps you learn AI concepts? Share your favorite and why.
💡 Example: "Is there a YouTube channel that helps you learn AI concepts? Share your favorite and why. I love Two Minute Papers for quick insights."
Which AI book changed the way you think? Name it and share a memorable insight.
💡 Example: "Which AI book changed the way you think? Name it and share a memorable insight. Deep Learning by Goodfellow gave me new perspective on neural nets."
What is the best AI course you have taken online? Link it and tell us who should try it.
💡 Example: "What is the best AI course you have taken online? Link it and tell us who should try it. I recommend Fast.ai for hands-on learning."
List one free dataset you rely on for projects. How has it helped your work?
💡 Example: "List one free dataset you rely on for projects. How has it helped your work? I use MNIST for quick model tests."
Do you have a go-to AI cheat sheet or reference guide? Share it below.
💡 Example: "Do you have a go-to AI cheat sheet or reference guide? Share it below. I use the PyTorch quickstart guide weekly."
Recommend a lesser-known AI resource that deserves more attention.
💡 Example: "Recommend a lesser-known AI resource that deserves more attention. I suggest Papers with Code for finding implementations."
What is the most useful AI plugin or extension in your workflow?
💡 Example: "What is the most useful AI plugin or extension in your workflow? I use VS Code's Python AI tools daily."
Share a recent AI conference talk or webinar that inspired you. Link if possible.
💡 Example: "Share a recent AI conference talk or webinar that inspired you. Link if possible. I loved the NeurIPS keynote on generative models."
What AI newsletter or blog post do you recommend for staying updated?
💡 Example: "What AI newsletter or blog post do you recommend for staying updated? I follow Import AI for trends."
Is there a free AI tool everyone here should know about? Post the link and why it is useful.
💡 Example: "Is there a free AI tool everyone here should know about? Post the link and why it is useful. I use Google Colab for fast prototyping."
Share a GitHub repo that helped you learn or build something in AI.
💡 Example: "Share a GitHub repo that helped you learn or build something in AI. The YOLO implementation was key for my object detection project."
Have a favorite AI meme or infographic? Post it and explain what it teaches.
💡 Example: "Have a favorite AI meme or infographic? Post it and explain what it teaches. The 'gradient descent' meme always makes learning fun."
What AI resource do you wish you had found sooner? Share it to help others.
💡 Example: "What AI resource do you wish you had found sooner? Share it to help others. I wish I knew about ArXiv Sanity years ago."
Drop a link to an AI community or forum you find valuable and explain why.
💡 Example: "Drop a link to an AI community or forum you find valuable and explain why. I like r/MachineLearning for its active discussions."
What is your go-to resource for AI ethics or responsible AI?
💡 Example: "What is your go-to resource for AI ethics or responsible AI? The Partnership on AI website is my main source."
Share one AI webinar or event you recommend attending this year.
💡 Example: "Share one AI webinar or event you recommend attending this year. AI Expo is always insightful."
Which online AI community do you learn from the most? Mention it and why.
💡 Example: "Which online AI community do you learn from the most? Mention it and why. The DataTalks club on Slack has great practical advice."
Name an AI tool that helped you automate a task. How did it improve your workflow?
💡 Example: "Name an AI tool that helped you automate a task. How did it improve your workflow? I use Zapier's AI integrations for email sorting."
Have you found a great AI visualization tool? Share and show an example if you can.
💡 Example: "Have you found a great AI visualization tool? Share and show an example if you can. TensorBoard helped me debug my models."
What is the best AI coding tutorial you have tried? Share the link and your results.
💡 Example: "What is the best AI coding tutorial you have tried? Share the link and your results. I found DeepLizard's YouTube tutorials very clear."
Recommend an AI resource for beginners. Why is it a good starting point?
💡 Example: "Recommend an AI resource for beginners. Why is it a good starting point? Andrew Ng's ML course is perfect for newcomers."
Share an AI research paper that shaped your understanding. How did it help?
💡 Example: "Share an AI research paper that shaped your understanding. How did it help? The GANs paper helped me grasp generative models."
Which AI API do you use most often? Share how it fits into your workflow.
💡 Example: "Which AI API do you use most often? Share how it fits into your workflow. I use OpenAI's API for text processing tasks."
Have a resource for learning AI math basics? Share the link and what makes it clear.
💡 Example: "Have a resource for learning AI math basics? Share the link and what makes it clear. 3Blue1Brown's videos are my top pick."
What is your favorite AI model zoo or pre-trained model resource?
💡 Example: "What is your favorite AI model zoo or pre-trained model resource? I rely on TensorFlow Hub."
Recommend an AI Slack or Discord group for networking or learning.
💡 Example: "Recommend an AI Slack or Discord group for networking or learning. The AI Alignment Slack is great for research discussions."
Share a must-have AI browser extension and how it helps your workflow.
💡 Example: "Share a must-have AI browser extension and how it helps your workflow. I use DataMiner for scraping datasets."
Which AI learning path or roadmap do you recommend? Share the link and why.
💡 Example: "Which AI learning path or roadmap do you recommend? Share the link and why. I like Daniel Bourke's ML roadmap."
Have you used an AI-powered note-taking tool? Recommend your favorite.
💡 Example: "Have you used an AI-powered note-taking tool? Recommend your favorite. I like Otter.ai for meetings."
Share an AI community event or hackathon you learned a lot from.
💡 Example: "Share an AI community event or hackathon you learned a lot from. I joined the Hugging Face Sprint and built my first NLP app."
What is the best resource for keeping up with AI regulations or policy?
💡 Example: "What is the best resource for keeping up with AI regulations or policy? I follow the AI Policy newsletter."
Which AI competition platform do you use and what do you like about it?
💡 Example: "Which AI competition platform do you use and what do you like about it? Kaggle's datasets and kernels are top-notch."
Recommend an AI visualization blog or resource that makes concepts simple.
💡 Example: "Recommend an AI visualization blog or resource that makes concepts simple. Distill.pub explains things so well."
Share a video or course that helped you understand LLMs. What was your aha moment?
💡 Example: "Share a video or course that helped you understand LLMs. What was your aha moment? Andrej Karpathy's LLM zero-to-hero course was a game changer."
What is your favorite AI blog for practical tutorials? Link and recommend a post.
💡 Example: "What is your favorite AI blog for practical tutorials? Link and recommend a post. I suggest Machine Learning Mastery for step-by-step guides."
To use these templates, simply copy and paste your chosen prompt into your community platform and customize as needed. Encourage members to not only share their favorite AI resources but also explain how they use them or why they find them valuable. Use images, polls, or tags to further stimulate participation. Consider pinning or highlighting top recommendations, and follow up with summary posts so that valuable resources remain easy to find.
Since these templates work across all platforms, adapt your format for each space. For forums or Slack, use threads to organize different resources. On Discord, create a dedicated channel for recommendations. On social platforms, use hashtags or pinned posts for visibility. Always encourage replies and tag active members to boost participation.
For posts recommending resources on machine learning frameworks, clearly frame the comparison (e.g., 'Best video tutorials for TensorFlow vs PyTorch'), specify the experience level (beginner, intermediate, advanced), and encourage members to share context (such as project type or deployment requirements) for more targeted recommendations. Use template prompts that ask for real project examples or use-case scenarios to foster helpful, AI-specific discussions.
When recommending resources related to ethical AI, use a template that specifies the type of content (e.g., 'Share your go-to resource for understanding AI bias mitigation techniques') and set clear expectations for respectful discussion. Consider including a brief note in your template reminding members that resources should be educational, not endorsements of particular viewpoints, which helps keep conversations constructive and on-topic.
Use templates that differentiate between beginner-friendly overviews and advanced research. For example, prompt with 'Share one foundational paper for newcomers and one advanced paper for experts on natural language processing.' Encourage contributors to summarize each resource in layman's terms to make the information accessible to a wider audience while still supporting deep dives for specialists.
When recommending datasets, use templates that prompt members to specify dataset characteristics (e.g., 'Best open-source medical imaging datasets for segmentation tasks, with clear licensing information'). Encourage sharing links to dataset documentation and highlight privacy considerations (such as GDPR compliance) to help members make informed, legally compliant choices.
In your Recommend a Resource template, explicitly ask for sources that prioritize peer-reviewed research or are widely respected in the AI community (such as arXiv, NeurIPS proceedings, or reputable blogs run by AI researchers). Encourage members to mention why they trust the source, whether it’s editorial standards, transparency, or author credentials, to help others evaluate recommendations critically.
Design templates that prompt members to share not only the toolkit/library name but also real-world use cases, unique features, and tips for getting started. For example: 'What’s your go-to library for reinforcement learning experiments, and what resources helped you master it?' This encourages deeper engagement and knowledge sharing, rather than surface-level recommendations.
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