On the Jim Rutt show.
Jim talks with [Carlos Perez] about the ideas in his new book A Pattern Language for Generative AI: A Self-Generating GPT-4 Blueprint . They discuss GPT-4’s ability to introspect on its capabilities, Christopher Alexander’s idea of a pattern language, pattern language design, Jim’s script-writing program, moving beyond ChatGPT to the OpenAI API, managing the context window, chain of thought prompting, the skyhook effect, the value of using tables, creation patterns, input-output pairs, the power of examples, punctuation, cloze prompts, compressing text, the mystery of LLM capabilities, an explanation for state emulation, the system prompt, explainability patterns, meta-levels of language, procedural patterns, design thinking prompts, the idea of a GPTpedia, composite patterns, in-painting vs out-painting, corrective patterns, 6 thinking hats, attribute listing prompts, problem restatements, inverted interaction, multiple-discipline prompts, modularity patterns, ChatGPT plugins, katas & meditations, and much more.