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Home Artificial Intelligence

GenAI with Python: Construct Brokers from Scratch (Full Tutorial) | by Mauro Di Pietro | Sep, 2024

Admin by Admin
September 30, 2024
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Scaling Characteristic Engineering Pipelines with Feast and Ray

Optimizing Token Era in PyTorch Decoder Fashions


with Ollama, LangChain, LangGraph (No GPU, No APIKEY)

Mauro Di Pietro

Towards Data Science

Picture by Mathieu Stern on Unsplash

(All pictures are by the writer except in any other case famous)

Intro

Immediate Engineering is the apply of designing and refining prompts (textual content inputs) to reinforce the habits of Massive Language Fashions (LLMs). The aim is to get the specified responses from the mannequin by rigorously crafting the directions. Probably the most used prompting strategies are:

  • Chain-of-Thought: includes 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 (Purpose+Act): combines reasoning with motion. The mannequin not solely thinks by way of an issue but additionally takes actions primarily based on its reasoning. So it’s extra interactive because the mannequin alternates between reasoning steps and actions, refining its strategy 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 underneath $1000”.

– Regular Reply: “Lenovo Thinkpad”.

– Chain-of-Thought Reply: “I want to think about elements like efficiency, battery life, and…

Tags: AgentsBuildCompleteGenAIMauroPietroPythonScratchSepTutorial

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