Finding Your Dream Master's Program in AI
A values-based approach to program choice and networking.- 26599Murphy ≡ DeepGuide
MLOps: What is Operational Tempo?
Operations tempo is the speed and efficiency at which an organization completes its operations or tasks. In MLOps, this can include tasks like model development, retraining deployment, maintenance, etc. A well-managed ops tempo helps deliver projects on t- 29891Murphy ≡ DeepGuide
Unraveling the Design Pattern of Physics-Informed Neural Networks: Part 05
Welcome to the 5th blog of this series, where we continue our exciting journey of exploring design patterns of physics-informed neural networks (PINN)- 22273Murphy ≡ DeepGuide
Decoding the US Senate Hearing on Oversight of AI: NLP Analysis in Python
Word frequency analysis, visualization and sentiment scores using the NLTK toolkit Last Sunday morning, as I was switching TV channels trying to find something to watch while having breakfast, I stumbled upon a replay of the Senate Hearing on Oversight of- 28291Murphy ≡ DeepGuide
Running Falcon Inference on a CPU with Hugging Face Pipelines
Learn how to run inference with 7-billion and 40-billion Falcon on a 4th Gen Xeon CPU with Hugging Face Pipelines- 20515Murphy ≡ DeepGuide
Motivating Self-Attention
Why do we need queries, keys AND values?- 23288Murphy ≡ DeepGuide
What Are Gradients, and Why Do They Explode?
By reading this post you will have a firm understanding of the most important concept in deep learning- 29226Murphy ≡ DeepGuide
Variational Inference: The Basics
Implementing variational inference from scratch- 24688Murphy ≡ DeepGuide
MLOps Tempo: How Do Strategic Goals Speed Your Development?
The foundation is knowing what the organization wants.- 29366Murphy ≡ DeepGuide
A guide to handling categorical variables in Python
A guide on how to approach categorical variables for machine learning and data science purposes- 28089Murphy ≡ DeepGuide
Is Your LLM Application Ready for the Public?
Key concerns when productionizing LLM-based applications- 27376Murphy ≡ DeepGuide
Meta AI's Another Revolutionary Large Scale Model – DINOv2 for Image Feature Extraction.
DINOv2 is one of the best self-supervised ViT-based DL models for image feature extraction.- 25572Murphy ≡ DeepGuide
Empowering Fairness: Recognizing and Addressing Bias in Generative Models
In 2021, Princeton University’s Center for Information Technology Policy released a report where they found that machine learning algorithms can pick up biases similar to those of humans from their training data. One striking example of this effect- 28126Murphy ≡ DeepGuide
Mastering Model Interpretability: A Comprehensive Look at Partial Dependence Plots
Knowing how to interpret your model is essential to understand if it is not doing weird stuff. The more you know your model, the less likely you are to be surprised by its behavior when it goes to production. Also, the more domain you have over your model- 23034Murphy ≡ DeepGuide
Putting an AI-Powered Data Analyst to the Test
Image by Author: Generated with Midjourney Background – The need for Efficient Analytics In my opinion, analytics has been one of the toughest arenas to operate in due to the immense volumes of ad hoc requests. Typically, it involves writing a SQL q- 24577Murphy ≡ DeepGuide
Use GPT Models to Generate Text Data for Training Machine Learning Models
A step-by-step guide in Python- 29073Murphy ≡ DeepGuide
Environmental Impact of Ubiquitous Generative AI
What could happen to our environment if billions of people began to use generative AI technology on a daily basis?- 29820Murphy ≡ DeepGuide
Araucana XAI: Why Did AI Get This One Wrong?
Araucana XAI: Local Explainability With Decision Trees for Healthcare Introducing a new model-agnostic, post hoc XAI approach based on CART to provide local explanations improving the transparency of AI-assisted decision making in healthcare Why did AI ge- 21488Murphy ≡ DeepGuide
How is AI Disrupting Data Governance?
Generative AI has already started shaking the world of Data Governance, and it is set to keep doing so. It’s just been 6 months since ChatGPT’s release, but it feels like we need a retrospective already. In this piece, I’ll explore how g- 25486Murphy ≡ DeepGuide
The carbon footprint of GPT-4
Recently leaked data allows us for the first time to estimate the carbon emissions from training OpenAI's GPT-4.- 26753Murphy ≡ 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