with Ollama, LangChain, LangGraph (No GPU, No APIKEY)
(All photographs are by the creator except in any other case famous)
Intro
Immediate Engineering is the apply of designing and refining prompts (textual content inputs) to reinforce the conduct of Massive Language Fashions (LLMs). The aim is to get the specified responses from the mannequin by fastidiously crafting the directions. Probably the most used prompting methods are:
- Chain-of-Thought: entails producing a step-by-step reasoning course of to achieve a conclusion. The mannequin is pushed to “assume out loud” by explicitly laying out the logical steps that result in the ultimate reply.
- ReAct (Cause+Act): combines reasoning with motion. The mannequin not solely thinks by means of an issue but in addition takes actions based mostly on its reasoning. So it’s extra interactive because the mannequin alternates between reasoning steps and actions, refining its method iteratively. Mainly, it’s a loop of “thought”, “motion”, “commentary”.
Let’s make an instance: think about asking an AI to “discover the most effective laptop computer beneath $1000”.
– Regular Reply: “Lenovo Thinkpad”.
– Chain-of-Thought Reply: “I want to think about elements like efficiency, battery life, and…
