Thinking Like a Large Language Model
Book •
Thinking Like a Large Language Model provides a practical guide to understanding and working with LLMs, focusing on how to phrase requests and break tasks into steps for optimal AI output.
Written by a Google DeepMind scientist, the book uses analogies and real-world examples to explain complex concepts, making it accessible to a broad audience.
It delves into the importance of understanding how LLMs interpret requests and respond to different strategies, helping readers become effective AI managers.
The book also emphasizes the need for verifying AI outputs and refining prompts to achieve desired results.
Ultimately, it aims to equip readers with the knowledge and mental models necessary to navigate the evolving landscape of AI effectively.
Written by a Google DeepMind scientist, the book uses analogies and real-world examples to explain complex concepts, making it accessible to a broad audience.
It delves into the importance of understanding how LLMs interpret requests and respond to different strategies, helping readers become effective AI managers.
The book also emphasizes the need for verifying AI outputs and refining prompts to achieve desired results.
Ultimately, it aims to equip readers with the knowledge and mental models necessary to navigate the evolving landscape of AI effectively.
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Developing a Mental Model for AI - Thinking Like a Large Language Model by Mukund Sundararajan
