Category: Uncategorized
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The Semantic Veracity of RDMS vs LLM/ANN Representations of the Real World
The Semantic Veracity of RDMS vs LLM/ANN Representations of the Real World In the realm of data representation and knowledge management, two paradigms stand in stark contrast: the traditional Relational Database Management Systems (RDMS) and the emerging Large Language Models (LLM) coupled with Artificial Neural Networks (ANN). This essay delves into the fundamental differences between…
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Explaining the Monty Hall Probability Puzzle
Explaining the Monty Hall Probability Puzzle with Claude 3.5 sonnet FS explain the money hall problem without using math The Monty Hall problem is a famous probability puzzle that often surprises people with its counterintuitive solution. Here’s an explanation without using math: Imagine you’re on a game show. There are three closed doors in front…
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The Accelerated Evolution of AI: Applying Aristotle’s and Noble’s Causes to LLM and ANN Development
The Accelerated Evolution of AI: Applying Aristotle’s and Noble’s Causes to LLM and ANN Development In the rapidly advancing field of artificial intelligence (AI), the development of Large Language Models (LLMs) and Artificial Neural Networks (ANNs) has been nothing short of revolutionary. The pace at which these technologies have evolved far outstrips the timescales of…
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Neo-Darwinism on Steroids: The Accelerated Evolution of LLMs and ANNs
…with Claude 3.5 sonnet What Drives Natural Selection? FS Neo-Darwinism speaks to “selection ” as a driver of fitness. What is doing the selection, the organism or the enviri=onment? Edit In Neo-Darwinism, the primary driver of selection is typically considered to be the environment, not the organism itself. This concept is known as natural selection.…
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Bayes’ Theorem in LLM/ANN Backpropagation: A Probabilistic Perspective on Learning with Concrete Examples
…with Claude 3.5 sonnet Introduction Large Language Models (LLMs) and Artificial Neural Networks (ANNs) have revolutionized machine learning and artificial intelligence. At the core of their learning process is backpropagation, a powerful algorithm for training these models. While backpropagation is often explained using calculus and gradient descent, there’s a fascinating connection to Bayes’ Theorem that…
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Integration of SQL Queries with RAG and ANN Analysis
working with Claude 3.5 sonnet Redo this but this time create hypothetical data bases for the sales, ordering, provisioning, inventory, and sales example and include SQL code for the examples Edit Certainly. I’ll create hypothetical databases for the sales, ordering, provisioning, inventory, and billing systems, and then provide SQL code examples for each scenario. This…