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References: AI Tools and Strategy for Technical PMs

  1. Large Language Model - Wikipedia Explains the architecture, training methods, and capabilities of large language models like GPT and Claude, foundational knowledge for PMs evaluating AI integration opportunities in their products.

  2. Prompt Engineering - Wikipedia Covers techniques for crafting effective prompts including few-shot learning, chain-of-thought reasoning, and system prompts, skills PMs need to leverage AI tools effectively in their workflows.

  3. Generative Artificial Intelligence - Wikipedia Broad overview of generative AI technologies including text, image, and code generation, helping PMs understand the landscape of AI capabilities and their potential product applications.

  4. "AI-Powered Product Management" by Matt LeMay and Marily Nika (O'Reilly, 2024) Practical guide to incorporating AI tools and strategies into product management workflows, covering prompt engineering, AI-assisted analysis, and strategic decision-making frameworks for modern PMs.

  5. "Co-Intelligence: Living and Working with AI" by Ethan Mollick (Portfolio/Penguin, 2024) Insightful exploration of how professionals can effectively collaborate with AI systems, addressing practical applications, ethical considerations, and limitations that PMs must navigate in AI-augmented workplaces.

  6. Anthropic Claude Documentation Official documentation for Claude covering capabilities, API usage, prompt best practices, and safety guidelines, essential reading for PMs integrating Claude into product workflows or evaluating AI assistants.

  7. GitHub Copilot Documentation Official guide to GitHub's AI coding assistant covering setup, usage patterns, and best practices, helping PMs understand how AI pair programming tools accelerate engineering team productivity.

  8. OpenAI Platform Documentation Comprehensive API documentation and guides for OpenAI's models, covering capabilities, pricing, and integration patterns that PMs need when evaluating or building products using GPT-based AI services.

  9. Google: Responsible AI Practices Google's framework for ethical AI development covering fairness, accountability, transparency, and safety, providing PMs with governance principles for AI-powered product features.

  10. Andreessen Horowitz: AI Canon Curated collection of foundational AI resources covering transformers, fine-tuning, and AI product strategy from a leading venture capital firm, giving PMs a structured learning path for AI literacy.