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Prompt Engineering is the method of accessing Large Language Models (LLMs), hence implementations like Pipelines, Agents, Prompt Chaining & more which are LLM based are all premised on some form of Prompt Engineering.

The notion of fine-tuning a Large Language Models (LLMs) for very specific generative use-cases is in most instances not feasible. However, due to the flexibility of LLMs, variations in Prompt Engineering can yield astounding results. This article covers a new prompt method which improves LLM results in accuracy and completeness.

ChainForge is an IDE for prompt engineering and a number of important improvements were made to the tool.

In essence the discipline of Prompt Engineering is very simple and accessible. But as the LLM landscape develops, prompts are becoming programable and incorporated into more complex Generative AI structures.