Introduction to LangChain: Prompt Engineering Fundamentals

Prompt engineering is the set of techniques to construct prompts so you have a high level of control over the LLMs' output.

Many prompt engineering techniques are here to improve the accuracy of the LLM models but some of them are essential to augment LLMs with additional tools. We are going to look at the following techniques and how to implement them in LangChain:

• Few-shot learning

• Memetic proxy

• Chain of Thought

• Self-consistency

• Inception

• Self-ask

• ReAct

• Plan and execute

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Below are the images and code used in the video!