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4.4
72 reviewsWhen people ask me about what I do, I always struggle to give them a straightforward answer. My career has taken me down many different paths, and I have worn many different hats over the years. I am someone who has always been passionate about learning and trying new things, which has led me to work in many different fields. I have
I worked in software development, advertising, marketing, network and telecom, systems administration, training, technical writing, computer repair and other fields. I have always been driven by the desire to learn more and expand my horizons. As I learned new technologies, met new people, and explored new concepts, my mind became more open and my perspective widened. I began to see connections and possibilities that I had never seen before.
The more I learned, the more I wanted to teach, sometimes for free. I love that feeling of seeing the light bulb go off in someone’s head when they finally understand something that they have been struggling with. I have always been a teacher at heart, and I have always enjoyed sharing my knowledge with others.
This is exactly what led me to write this guide.
During the writing of this guide, I was always thinking about the people who would read it. I aimed to create an accessible and easy-to-follow guide on NLP, GPT, and related topics for Python developers with limited knowledge in these fields. My goal was to provide practical information that readers could use to build their own intelligent systems without having to spend years learning the theory behind these concepts.
In this practical hands-on guide, I share my knowledge and experience with OpenAI’s models, specifically GPT-3 (but also other models), and how Python developers can use them to build their own intelligent applications. The guide is designed to be a step-by-step guide that covers the fundamental concepts and techniques of using GPT-3, and provides a hands-on approach to learning.
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