with Ollama, LangChain, LangGraph (No GPU, No APIKEY)
(All photos are by the writer except in any other case famous)
Intro
Immediate Engineering is the follow of designing and refining prompts (textual content inputs) to reinforce the conduct of Giant Language Fashions (LLMs). The purpose is to get the specified responses from the mannequin by rigorously 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 (Motive+Act): combines reasoning with motion. The mannequin not solely thinks by an issue but in addition takes actions primarily based on its reasoning. So it’s extra interactive because the mannequin alternates between reasoning steps and actions, refining its method iteratively. Principally, it’s a loop of “thought”, “motion”, “commentary”.
Let’s make an instance: think about asking an AI to “discover the very best laptop computer beneath $1000”.
– Regular Reply: “Lenovo Thinkpad”.
– Chain-of-Thought Reply: “I would like to think about components like efficiency, battery life, and…
