How to Chunk Text Data – A Comparative Analysis
Exploring and comparing distinct approaches to text chunking.- 20938Murphy ≡ DeepGuide
Deep Dive into PFI for Model Interpretability
Another interpretability tool for your toolbox- 20667Murphy ≡ DeepGuide
How to Improve ChatGPT's Generated Code with Prompt Engineering
A simple strategy for enhancing ChatGPT's performance as your coding assistant- 28970Murphy ≡ DeepGuide
Simplifying Transformers: State of the Art NLP Using Words You Understand – part 2- Input
Deep dive into how transformers' inputs are constructed- 25927Murphy ≡ DeepGuide
Final DXA-nation
Longitudinal Image-based AI Models for Health and Medicine Key Points, TLDR: The combination of body composition imaging and meta-data (e.g. age, sex, grip strength, walking speed, etc) resulted in the best 10 year mortality predictions Longitudinal or se- 26751Murphy ≡ DeepGuide
Generative AI Ethics
Key Considerations in the Age of Autonomous Content- 29266Murphy ≡ DeepGuide
Simplifying Transformers: State of the Art NLP Using Words You Understand- Part 1 - Intro
Transformers are a deep learning architecture that has made an outstanding contribution to the advancement of AI. It’s a significant stage within the realm of both AI and technology as a whole, but it’s also a bit complicated. As of today, the- 22968Murphy ≡ DeepGuide
FitBot – A Fitness Chatbot Agent
How to Create a Chatbot Agent Leveraged by OpenAI Function Calling- 21933Murphy ≡ DeepGuide
The Necessity of a Gradient of Explainability in AI
"Any sufficiently advanced technology is indistinguishable from magic" – Arthur C. Clarke With the advances in self-driving cars, computer vision, and more recently, large language models, science can sometimes feel like magic! Models are- 27768Murphy ≡ DeepGuide
Hugging Face Diffusers can correctly load LoRA
Using the Latest Diffusers Monkey Patching function to load LoRA produces exactly the same result compare with A1111- 21644Murphy ≡ DeepGuide
A Comprehensive Guide on Interaction Terms in Time Series Forecasting
Learn how to improve the fit of your linear models by making them more flexible to trend changes- 22281Murphy ≡ DeepGuide
Experiment Orchestration From Scratch
In this post we will explore why experiment orchestration is important, existing orchestration solutions, how to build your own orchestrator with MongoDB, and why that might be beneficial in some use cases. Who is this useful for? Anyone trying to fit mod- 20837Murphy ≡ DeepGuide
User feedback – the missing piece of your ML monitoring stack
A complete guide to building user-centric AI.- 29010Murphy ≡ DeepGuide
The Arrival of SDXL 1.0
Introducing SDXL 1.0: Understanding the Diffusion Models- 26702Murphy ≡ DeepGuide
What Happened to the Semantic Web?
It didn't turn out as expected.- 27496Murphy ≡ DeepGuide
Creating 3D Videos from RGB Videos
Instructions for generating consistent depthmap and point cloud videos from any RGB videos- 28355Murphy ≡ DeepGuide
The Urgent Need for Responsible Use of Generative AI
Why scale, personalisation, unclear provenance, and diffusion of AI-generated content require us to act now- 22480Murphy ≡ DeepGuide
Graph Machine Learning @ ICML 2023
Recent advancements and hot trends, August 2023 edition- 24346Murphy ≡ DeepGuide
Regulating Generative AI
How Well Do LLMs Comply with the EU AI Act?- 28565Murphy ≡ DeepGuide
ChatGPT's energy use per query
How much electricity does ChatGPT use to answer one question?- 26408Murphy ≡ 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