GPT Masterclass: 4 Years of Prompt Engineering in 16 Minutes

Medium article: https://medium.com/@dave-shap/become-a-gpt-prompt-maestro-943986a93b81
Slide Deck: https://github.com/daveshap/YouTube_Slide_Decks/blob/main/Business%20and%20Product/LLM%20Prompt%20Taxonomy.pdf

Large language models (LLMs) like GPT-4 have shown impressive abilities to generate humanlike text, have conversations, and demonstrate knowledge across many domains. However, there is still confusion around exactly how LLMs work and what capabilities they currently possess. This passage aims to provide a high-level taxonomy of LLM abilities and limitations.

LLMs are deep learning neural networks trained on massive text datasets to predict the next word in a sequence. This allows them to …

capabilities conversations deep learning deep learning neural networks domains gpt gpt-4 humanlike knowledge language language models large language large language models limitations llm llms massive networks neural networks taxonomy text work