Communities for AI practitioners building AI-first companies. Developer communities, professional networks, conferences, and open source communities where the topics in the book are actively discussed.
Online communities where AI engineers, researchers, and builders share knowledge and collaborate.
Community
Platform
Focus
URL
Hugging Face
Web + Discord
The central hub for open source AI -- model sharing, datasets, Spaces for demos, and active discussion forums.
https://huggingface.co
r/MachineLearning
Reddit
Research-focused discussion of ML papers, techniques, and industry developments. 3M+ members.
https://reddit.com/r/MachineLearning
r/LocalLLaMA
Reddit
Focused on running open-weight models locally -- Llama, Mistral, quantization, and self-hosting. Relevant to the open-source model discussion in Chapter 3.
https://reddit.com/r/LocalLLaMA
r/artificial
Reddit
Broader AI discussion covering industry news, ethics, and applications.
https://reddit.com/r/artificial
LangChain Discord
Discord
LangChain and LangSmith builders collaborate on LLM applications with chains and agents.
https://discord.gg/langchain
LlamaIndex Discord
Discord
LlamaIndex users building RAG systems and data-connected LLM applications.
https://discord.gg/llamaindex
Weights & Biases Community
Discord + Forums
ML practitioners sharing experiment tracking, model evaluation, and production ML practices.
https://wandb.ai/community
MLOps Community
Slack + Web
Practitioners focused on ML operations, deployment, and production systems.