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A practical guide on LLM design patterns covering data preparation, model development, fine-tuning, RAG, and advanced prompting techniques.
A conceptual guide on deciding when to trust LLM outputs in high-stakes professional contexts like legal, clinical, and financial work, emphasizing the need for critical evaluation skills.
A practitioner shares 20 real AI agents for sales, operations, content, dev, and finance that are actively used and have survived the first week, emphasizing single-job agents with approval gates and structured output.
Recommends a Stanford lecture on how ChatGPT and Claude work, distilling its core insights into a practical guide to help users effectively use AI tools.