Can AI Solve Your Problem?
In a product organisation aiming to build AI capabilities into their products and services, there is always the challenge of bringing the non-AI-literates onboard the AI train. While not everybody needs to be an AI expert, it is necessary to have as many- 22242Murphy ≡ DeepGuide
Improving performance and explainability of Zero-Shot CLIP
Part 2 - Visual classification via Description from LLMs- 24264Murphy ≡ DeepGuide
The Long and Short of It: Proportion-Based Relevance to Capture Document Semantics End-to-End
Artificial intelligence software was used to enhance the grammar, flow, and readability of this article’s text. Dominant search methods today typically rely on keywords matching or vector space similarity to estimate relevance between a query and do- 21147Murphy ≡ DeepGuide
Achieving Greater Self-Consistency in Large Language Models
Artificial intelligence software was used to enhance the grammar, flow, and readability of this article’s text. When LLMs are used to evaluate qualities like the correctness, accuracy, or relevance of a piece of text, consistency is paramount. If an- 22974Murphy ≡ DeepGuide
LLM and GNN: How to Improve Reasoning of Both AI Systems on Graph Data
Artificial intelligence software was used to enhance the grammar, flow, and readability of this article's text.- 20638Murphy ≡ DeepGuide
Understanding Predictive Maintenance - Wave Data: Feature Engineering (Part 2 Spectral)
Feature Engineering of spectral data- 20323Murphy ≡ DeepGuide
Particle Swarm Optimization - Search Procedure Visualized
Humans like to mimic many things in nature. We mimic frogs in swimming. We mimic birds by installing wings on planes to provide lift. We mimic the crane/ snake/ mantis in martial arts. We mimic termites to build structures with efficient temperature contr- 23483Murphy ≡ DeepGuide
Retrieval Augmented Generation (RAG) Inference Engines with LangChain on CPUs
Exploring scale, fidelity, and latency in AI applications with RAG- 25013Murphy ≡ DeepGuide
Data Altruism: The Digital Fuel for Corporate Engines
The dos and don'ts of processing data in the age of AI- 27608Murphy ≡ DeepGuide
Geometrical Interpretation of Linear Regression in Machine Learning versus Classical Statistics
Demystifying the confusion about Linear Regression Visually and Analytically- 22474Murphy ≡ DeepGuide
How to efficiently fine-tune your own open-source LLM using novel techniques – code provided
In this article I tune a base LLama2 LLM to output SQL code. I use Parameter Efficient Fine-Tuning Techniques to optimise the process.- 28779Murphy ≡ DeepGuide
Stable Diffusion: Mastering the Art of Interior Design
A deep dive into Stable Diffusion and its inpainting variant for interior design- 20785Murphy ≡ DeepGuide
Illuminating the Black Box of Textual GenAI
The Need for Insights- 29682Murphy ≡ DeepGuide
Can Chat GPT Play chess?
Beating GPT3.5 in a Chess Match using a Multi-Strategy AI with Deep Reinforcement Learning- 26495Murphy ≡ DeepGuide
Enhanced Large Language Models as Reasoning Engines
The recent exponential advances in natural language processing capabilities from large language models (LLMs) have stirred tremendous...- 21698Murphy ≡ DeepGuide
AI in Logistics: Optimizing Container Fill Rate with Computer Vision
Leveraging AI for smarter logistics and data-driven perspective on container utilization, maximizing efficiency and ROI Photo by Elevate on Unsplash One of the most glaring inefficiencies in logistics is the problem of empty space. Shipping containers, th- 23235Murphy ≡ DeepGuide
Courage to Learn ML: An In-Depth Guide to the Most Common Loss Functions
MSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss Functions- 23168Murphy ≡ DeepGuide
Optimizing Retrieval-Augmented Generation (RAG) by Selective Knowledge Graph Conditioning
How SURGE substantially improves knowledge relevance through targeted augmentation while retaining language fluency- 25884Murphy ≡ DeepGuide
A Surgeon's Reflections on Artificial Intelligence
A Clinical Perspective on Medical Innovation- 22183Murphy ≡ DeepGuide
Why Are Advanced RAG Methods Crucial for the Future of AI?
Mastering Advanced RAG: Unlocking the Future of AI-Driven Applications- 21421Murphy ≡ 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