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Llama-2 vs. Llama-3: a Tic-Tac-Toe Battle Between Models | by Dmitrii Eliuseev | Apr, 2024 | Towards Data Science
About a week before the time of writing this story, new open Llama-3 models were released by Meta. As claimed by Meta, these are “the best models existing today at the 8B and 70B parameter scales.”…
Improving the Analysis of Object (or Cell) Counts with Lots of Zeros | by Daniel Manrique-Castano | Apr, 2024 | Towards Data Science
Object and cell counting analysis requires additional approximations to typical linear Gaussian models. Other statistical modeling techniques need to be employed, including zero-inflated models.
Temperature Scaling and Beam Search Text Generation in LLMs, for the ML-Adjacent | by Mike Cvet | Apr, 2024 | Towards Data Science
If you’ve spent any time with APIs for LLMs like those from OpenAI or Anthropic, you’ll have seen the temperature setting available in the API. How is this parameter used, and how does it work…
The Case for Python in Excel. Features Needed to Make this A… | by Jeff Braun | Apr, 2024 | Towards Data Science
My first reaction to Microsoft’s announcement of Python in Excel (PiE) last year was a positive one. Excel has a dominant presence in the enterprise and Python continues to enjoy popularity as a…
Robust One-Hot Encoding. Production grade one-hot encoding… | by Hans Christian Ekne | Apr, 2024 | Towards Data Science
It’s not fun, and especially when it comes to issues that could be avoided. One issue that frequently causes problems is one-hot encoding of data. Drawing from my own experience, I’ve learned that…
A Simple Way for Downloading Hundreds of Clipped Satellite Images Without Retrieving the Entire Scene (Python) | by Mahyar Aboutalebi, Ph.D. 🎓 | Apr, 2024 | Towards Data Science
A Simple Way for Downloading Hundreds of Clipped Satellite Images Without Retrieving the Entire…. Learn how to download a clipped Sentinel-2 image for any Area of Interest (AOI), Lake Tahoe here, with just 12 lines of script..
The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey | by Sandi Besen | Apr, 2024 | Towards Data Science
My team and I (Sandi Besen, Tula Masterman, Mason Sawtell, and Alex Chao) recently published a survey research paper that offers a comprehensive look at the current state of AI agent architectures…
DuckDB and AWS — How to Aggregate 100 Million Rows in 1 Minute | by Dario Radečić | Apr, 2024 | Towards Data Science
When companies need a secure, performant, and scalable storage solution, they tend to gravitate toward the cloud. One of the most popular platforms in the game is AWS S3 — and for a good reason —…
Bayesian Data Science: The What, Why, and How | by Samvardhan Vishnoi | Apr, 2024 | Towards Data Science
The philosophical difference is actually quite subtle, where some propose that the great bayesian critic, Fisher, was himself a bayesian in some regard. While there are countless articles that delve…
How to Build a RAG System with a Self-Querying Retriever in LangChain | by Ed Izaguirre | Apr, 2024 | Towards Data Science
Recently, I was browsing Max trying to find a movie to watch. Typically this involves browsing through the various lists presented to me, reading a few descriptions, and then picking something that…
Hyperparameters Tuning with MLflow and Hydra Sweeps | by Marcello Politi | Apr, 2024 | Towards Data Science
When we develop Machine Learning models, we usually need to run lots of experiments to figure out which hyperparameter setting is best for a given algorithm. This can often lead to dirty code and…
Using Double Machine Learning and Linear Programming to optimise treatment strategies | by Ryan O'Sullivan | Apr, 2024 | Towards Data Science
Welcome to my series on Causal AI, where we will explore the integration of causal reasoning into machine learning models. Expect to explore a number of practical applications across different…
Unleash Llama3 — How You Can Use the Latest Big-Tech Open-Source LLM | by Eivind Kjosbakken | Apr, 2024 | Towards Data Science
Llama3 is the latest model released by Meta’s AI team. According to Meta’s blog on Llama3, Llama3 outperforms GPT3.5 in 63.2% of cases on instruct human evaluation. According to this metric, Llama3's…
Why Deep Learning Models Run Faster on GPUs: A Brief Introduction to CUDA Programming | by Lucas de Lima Nogueira | Apr, 2024 | Towards Data Science
Nowadays, when we talk about deep learning, it is very common to associate its implementation with utilizing GPUs in order to improve performance. GPUs (Graphical Processing Units) were originally…
Uncertainty Quantification and Why You Should Care | by Jonte Dancker | Apr, 2024 | Towards Data Science
Let’s assume we want to buy a house. Before we do so, we want to verify that the advertised price of 400,000 € is reasonable. For this, we use a model that, based on the number of rooms, the size and…
Data Science Project Management. A 5-step Project Management Framework… | by Shaw Talebi | Apr, 2024 | Towards Data Science
This article is part of a larger series on Full Stack Data Science. In the previous post, I introduced the idea of a full-stack data scientist and the 4 hats it entails. In this article, I will…
physipy: Make Python Unit-Aware. Part 1: physipy brings meter and Joule… | by Yoann Mocquin | Apr, 2024 | Towards Data Science
Have you ever done engineering/scientific computation with Python, and ended up lost or confused about which unit your variable was expressed in, like “is that the value in meters or millimeters”? Or…
To Know Is Also to Remember. Understanding Long Short-Term Memory… | by Diego Manfre | Apr, 2024 | Towards Data Science
A man and a woman talk inside a quiet room in a clinical research center. The woman asks questions and then waits for the man to answer while taking some notes. It might seem like a normal…
Python Meets Pawn 2: Clustering Chess Grandmasters based on their Openings | by Mikayil Ahadli | Towards Data Science
My passion for chess is no secret, and here, I’ve shared analyses of my own game openings. But today, I venture into a new territory: the world of Grandmasters. What openings do they commonly use…
Introduction to Kaggle and Scoring Top 7% in the Titanic Competition | by Oliver S | Apr, 2024 | Towards Data Science
Kaggle is a fun platform hosting a variety of data science and machine learning competitions — covering topics such as sports, energy or autonomous driving. In this post we will give an introduction…
How to Detect Floods in Satellite Imagery, Case Study: Dubai Flooding | by Mahyar Aboutalebi, Ph.D. 🎓 | Apr, 2024 | Towards Data Science
Over the weekend, as I scrolled through my Twitter feed, I saw the news about Dubai Airport getting flooded during a rare storm (more than 250 mm of rainfall in 24 hours!!). I hoped to find clear…
The Quest for Clarity: Are Interpretable Neural Networks the Future of Ethical AI? | by Andy Spezzatti | Apr, 2024 | Towards Data Science
Challenges and solutions of developing interpretable and explainable neural networks for ethical AI, addressing GDPR compliance, transparency, and accountability in machine learning.
LoRA: Revolutionizing Large Language Model Adaptation without Fine-Tuning | by Samuel Flender | Apr, 2024 | Towards Data Science
LoRA: Revolutionizing Large Language Model Adaptation without Fine-Tuning. Exploiting the low-rank nature of weight updates during fine-tuning results in orders of magnitude reduction in learnable parameters.
Spatial Challenges in RCTs. Location, Location, Location | by Leonardo Maldonado | Apr, 2024 | Towards Data Science
Randomized Controlled Trials (RCTs) are a standard approach to studying cause-effect relationships and identifying the impact or effectiveness of new treatments, interventions, and policies. Still…
Denoising Radar Satellite Images with Python Has Never Been So Easy | by Hadrien Mariaccia | Apr, 2024 | Towards Data Science
Synthetic aperture radar (SAR) images are widely use in a large variety of sectors (aerospace, military, meteorology, etc.). The problem is this kind of images suffer from noise in their raw format…
Speak, Don’t Type: Exploring Voice Interaction with LLMs [Part 1] | by Youness Mansar | Apr, 2024 | Towards Data Science
Many LLMs, particularly those that are open-source, have typically been limited to processing text or, occasionally, text with images (Large Multimodal Models or LMMs). But what if you want to…
Assorted Flavors of Fourier Series on a Finite Domain | by Sébastien Gilbert | Apr, 2024 | Towards Data Science
If you look up the history of Fourier analysis, you’ll see that Jean-Baptiste Joseph Fourier formalized the series that would bear his name while working on the heat flow problem. A Fourier series…
Designing the Relationship Between LLMs and User Experience | by Janna Lipenkova | Apr, 2024 | Towards Data Science
A while ago, I wrote the article Choosing the right language model for your NLP use case on Medium. It focussed on the nuts and bolts of LLMs — and while rather popular, by now, I realize it doesn’t…
AI’s Emerging Role in Disease Detection from Human Speech | by Salvatore Raieli | Apr, 2024 | Towards Data Science
Disease prediction from speech can be the next revolution in healthcare. “AI’s Emerging Role in Disease Detection from Human Speech” is published by Salvatore Raieli in Towards Data Science.
Leveraging AI Synergies for Named Entity Disambiguation | by Giuseppe Futia | Apr, 2024 | Towards Data Science
Named Entity Disambiguation (NED) is an essential task in Natural Language Processing (NLP) for resolving ambiguous mentions of named entities to their corresponding unambiguous entities in a…