Why Do We Have Huge Language Models and Small Vision Transformers?
Google ViT-22 paves the way for new large transformers and to revolutionize computer vision- 22444Murphy ≡ DeepGuide
Unsupervised data pruning: less data to learn better
Not always more data is meaning a more accurate model, but how to choose your data?- 26862Murphy ≡ DeepGuide
Command Line Interface (CLI) Tutorial - How Advanced Users Interact with Computers
A CLI intro to increase productivity in interacting with computers- 29848Murphy ≡ DeepGuide
Copulas: An Essential Guide & Applications in Time Series Forecasting
What are copula functions and why do we need them- 24917Murphy ≡ DeepGuide
Multimodal Chain of Thoughts: Solving Problems in a Multimodal World
The world is not only text: How to extend the chain of thoughts to image and text?- 29167Murphy ≡ DeepGuide
"ML-Everything"? Balancing Quantity and Quality in Machine Learning Methods for Science
The need for proper validations and good datasets, objective and balanced, and that predictions be useful in realistic scenarios.- 27038Murphy ≡ DeepGuide
Google Med-PaLM: The AI Clinician
Google's new model is trained to answer medical questions. How?- 21092Murphy ≡ DeepGuide
Making Language Models Similar to the Human Brain
There is still a gap between LMs and the human brain in NLP, inspiring AI to the latter could fill it- 24602Murphy ≡ DeepGuide
Through the Looking Glass, and What Google find there in the eye
Or How Google is Using Deep Learning to Diagnose Diseases in Eye Photos- 26449Murphy ≡ DeepGuide
Please: No More Flipping Coins in Data Science
Why statistics for data science should be engineered.- 25916Murphy ≡ DeepGuide
Shining light on transferrable skills for your data science journey
A hidden treasure of skills for those coming from academia to commercial data science. Numerical modelling, journaling, and more- 21841Murphy ≡ DeepGuide
Emergent Abilities in AI: Are We Chasing a Myth?
Changing Perspective on Large Language Models emerging properties- 23835Murphy ≡ DeepGuide
Analyze Scientific Publications with E-utilities and Python
How to gather data about scientific literature and discover trends- 27164Murphy ≡ DeepGuide
Five Free and Reliable Weather Data Sources
Weather influences human decision making in ways from the obvious to the subtle and unexpected.- 25424Murphy ≡ DeepGuide
AI in Action: Guiding the Discovery of New Antibiotics to Target Multidrug-Resistant Bacteria
Applications of AI to problems that matter Discovering new antibiotics to combat drug-resistant bacteria is a major urge as bacteria become resistant to existing ones, but it is an extremely challenging and costly endeavour. Any new way to come up with ne- 20478Murphy ≡ DeepGuide
Pushing the Boundaries: ChatGPT Applications in Particle Physics
Last month took place one of the most important conferences for the High Energy Physics (HEP) community in Computing: the so-called CHEP 2023, standing for Computing on High Energy Physics and Nuclear Physics – yes, simple!- 22126Murphy ≡ DeepGuide
Breaking boundaries in protein design with a new AI model that understands interactions with anyR
This new model could help expand the applicability of ML models for engineering proteins with desired functions by tuning their specific...- 28989Murphy ≡ DeepGuide
Say Once! Repeating Words Is Not Helping AI
How and why is repeating tokens harming LLMs? Why is this a problem?- 23783Murphy ≡ DeepGuide
META's Hiera: reduce complexity to increase accuracy
Simplicity allows AI to reach incredible performance and surprising speed- 20572Murphy ≡ DeepGuide
A fAIry tale of the Inductive Bias
Do we need inductive bias? How simple models can reach the performance of complex models- 20812Murphy ≡ 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