GenAI with Python: Construct Brokers from Scratch (Full Tutorial) | by Mauro Di Pietro | Sep, 2024
with Ollama, LangChain, LangGraph (No GPU, No APIKEY)
(All pictures 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 Massive 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: includes producing a step-by-step reasoning course of to succeed in a conclusion. The mannequin is pushed to “suppose out loud” by explicitly laying out the logical steps that result in the ultimate reply.
- ReAct (Purpose+Act): combines reasoning with motion. The mannequin not solely thinks by means of an issue but additionally takes actions based mostly on its reasoning. So it’s extra interactive because the mannequin alternates between reasoning steps and actions, refining its strategy 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 contemplate elements like efficiency, battery life, and…
