Diffusion Models: How do They Diffuse?
Understanding the Core Processes Behind Generative AI- 29342Murphy ≡ DeepGuide
Evolutionary Algorithm - Selections Explained
The Travelling Salesman Problem (TSP) is a well-known np-hard problem, that has obvious practical applications in real life. For example, this is useful if one is planning a trip around Europe and estimates the point-to-point travel time between sites. Wi- 27338Murphy ≡ DeepGuide
A beginner's guide to building a Retrieval Augmented Generation (RAG) application from scratch
# Retrieval Augmented Generation, or RAG, is all the rage these days because it introduces some serious capabilities to large language models like OpenAI’s GPT-4 – and that’s the ability to use and leverage their own data. This post will- 23545Murphy ≡ DeepGuide
Using LLMs to evaluate LLMs
You can ask ChatGPT to act in a million different ways: as your nutritionist, language tutor, doctor, etc. It’s no surprise we see a lot of demos and products launching on top of the OpenAI API. But while it’s easy to make LLMs act a certain w- 27552Murphy ≡ DeepGuide
Evolutionary Algorithm – Mutations Explained
Illustrations with code implementation, applied to TSP as an example- 28065Murphy ≡ DeepGuide
Leveraging LLMs to Complete Recommendation Knowledge Graphs
Artificial intelligence software was used to enhance the grammar, flow, and readability of this article's text.- 27034Murphy ≡ DeepGuide
AI Coding: Is Google Bard a Good Python Developer?
How does Google Bard handle Python coding tasks?- 22538Murphy ≡ DeepGuide
Understanding Predictive Maintenance – Data Acquisition and Signal Denoising
Get some practical experience- 28832Murphy ≡ DeepGuide
The Inflation of AI: Is More Always Better?
The Inflation of AI: Is More Always Better? We live in the age of AI! Every day, many new AI tools and ML models are being created, trained, released, and often advertised. When looking at Hugging Face for instance, we see almost 400,000 models available- 23051Murphy ≡ DeepGuide
Domain Adaptation of A Large Language Model
Adapt a pre-trained model to a new domain using HuggingFace- 21961Murphy ≡ DeepGuide
Understanding Predictive Maintenance - Unit Roots and Stationarity
Article Purpose In this article, we’re diving into the critical concepts of unit roots and stationarity. Buckle up for an exploration into why checking stationarity is crucial, what unit roots are, and how these elements play a key role in our predi- 24303Murphy ≡ DeepGuide
Embeddings + Knowledge Graphs: The Ultimate Tools for RAG Systems
The advent of large language models (LLMs) , trained on vast amounts of text data, has been one of the most significant breakthroughs in...- 28418Murphy ≡ DeepGuide
All you need to know to Develop using Large Language Models
Explaining in simple terms the core technologies required to start developing LLM-based applications.- 26675Murphy ≡ DeepGuide
Building a Custom GPT: Lessons and Tips
From enthusiasm to disappointment and finally the path to solutions and appreciation- 24569Murphy ≡ DeepGuide
Bayesian AB Testing with Pyro
A primer in Bayesian thinking and AB testing using Pyro- 23120Murphy ≡ DeepGuide
Engineering has changed forever
"Almost everything we know about good software architecture has to do with making software easy to change." Mary Poppendieck, Software Development Expert and Author In the last 6 months, the foundation of engineering has undergone a dramatic tra- 24506Murphy ≡ DeepGuide
Artificial Intelligence in Analytics
AI-powered Business Intelligence. A hype or reality?- 27289Murphy ≡ DeepGuide
Achieving Structured Reasoning with LLMs in Chaotic Contexts with Thread of Thought Prompting and
Artificial intelligence software was used to enhance the grammar, flow, and readability of this article's text.- 25521Murphy ≡ DeepGuide
Stepping Stones to Understanding: Knowledge Graphs as Scaffolds for Interpretable Chain-of-Thought&#
Artificial intelligence software was used to enhance the grammar, flow, and readability of this article’s text. Large language models (LLMs), trained on vast volumes of text data, has sparked a revolution in AI. Their ability to generate remarkably- 26219Murphy ≡ DeepGuide
Understanding Predictive Maintenance - Wave Data: Feature Engineering (Part 1)
All the information you need to start learning about wave-data signal processing- 29307Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag