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Retrieval Augumented Generation (RAG) - A beginner's guide

Discover how Retrieval Augmented Generation (RAG) technology enhances Large Language Models (LLMs) by integrating external knowledge, allowing for more accurate responses. Explore its implementation and benefits in revolutionizing question answering systems.

Systems Thinking - Chapter 3 - Unlocking the Different Perspectives

Have you ever felt overwhelmed by the complexity of the world around you? From the intricate dance of ecosystems to the dizzying pace of technological change, it's easy to get lost in the details. But what if there was a way to step back, see the bigger picture, and make sense of it all?

Systems Thinking - Chapter 2 - The Basic Toolbox

In this article we will be discussing the basic tools of systems thinking. These tools are the foundation of systems thinking and are used to understand and analyze systems.

Systems Thinking - Chapter 1 - A Guide to First Principles Thinking

Systems thinking is a powerful approach to understanding the world around us. It involves looking at things as interconnected parts of a whole, rather than isolated entities. This holistic perspective can be applied to anything from businesses and organizations to social systems and even our own minds.

Utilizing Custom Instructions with ChatGPT API - A Comprehensive Guide

This article provides a comprehensive guide on utilizing custom instructions within the ChatGPT API to optimize AI performance and generate tailored outputs.

Mastering Language Models: A Deep Dive

This article explores mastering language models through reductive, transformational, and generative operations. Additionally, it provides a comprehensive guide on utilizing custom instructions within the ChatGPT API to optimize AI performance and generate tailored outputs.

Theory Of Mind

The Free Energy Principle, pioneered by neuroscientist Karl Friston, unifies perception, learning, and action, proposing that the brain minimizes free energy to reduce prediction errors and optimize its models of the world. This principle has broad implications in neuroscience, psychology, and AI, though it's still a topic of ongoing research, requiring a grasp of diverse fields like statistics, thermodynamics, neuroscience, and machine learning.