What are some good Product Management resources for AI/ML/NLP?

For mastering AI/ML product management, you need a mix of strategic frameworks and technical discovery tools.

• Reforge (AI Product Management): This is the industry gold standard for mid-to-senior PMs. It focuses on the "Product-Model Fit" and how to handle the non-deterministic nature of AI. It’s expensive but offers the most practical frameworks for lifecycle management.
• Udacity (AI Product Manager Nanodegree): Best for foundational technical skills. It teaches you how to create datasets, manage labeling projects, and evaluate model performance metrics (precision/recall) without requiring deep coding.
• Hugging Face: Consider this your primary discovery "tool." It is the central hub for NLP models. PMs should use it to explore pre-trained models and understand what’s technically feasible before committing to a roadmap.
• Weights & Biases: While primarily a developer tool, PMs can use it to track experiments and visualize model performance. It bridges the communication gap between product and engineering during the R&D phase.
• Lenny’s Newsletter (AI deep dives): Excellent for case studies on how companies like Perplexity or OpenAI handle growth and UX challenges specific to LLMs.

Are you looking to build internal ML infrastructure, or are you integrating LLM features into a customer-facing app?