Imitation Models and the Open-Source LLM Revolution
Are proprietary LLMs like ChatGPT and GPT-4 actually easy to replicate? Published in · 15 min read · Just now (Photo by Tanbir Mahmud on Unsplash) The proposal of the … Read more
Are proprietary LLMs like ChatGPT and GPT-4 actually easy to replicate? Published in · 15 min read · Just now (Photo by Tanbir Mahmud on Unsplash) The proposal of the … Read more
The DINO framework shares the same overall structure with other similarity-learning frameworks like BYOL or the mean teacher but also with knowledge distillation. Let’s first have a look on how … Read more
Mortgage rates have been the highest in the US over the last 20 years. Inventory shortage and high inflation have driven home prices up. I have analyzed this situation by … Read more
We have all the ingredients we need to check if a piece of text is AI-generated. Here’s everything we need: The text (sentence or paragraph) we wish to check. The … Read more
Data visualization is a crucial aspect of data analysis and exploration. It allows us to gain insights, spot trends, and communicate our findings effectively. In R, there are numerous packages … Read more
In the following we show how it is possible to obtain parallelizable, unbiased and computationally cheap estimates of Crossed random effects models with a linear cost in the number of … Read more
PYTHON PROGRAMMING Should we use type hints in data-science projects realized in Python? Published in · 6 min read · Just now Whether or not you’re a happy user of … Read more
In this blog post, I will explain how to create a simple agent capable of basing its answers on content retrieved from Wikipedia to demonstrate the ability of LLMs to … Read more
How organizations can prepare themselves for the obstacles and success factors on the road to a democratized data culture Published in · 7 min read · 3 hours ago Data … Read more
Having the right dtypes in pandas is a must for clean data-analysis. Here’s how and why. Published in · 8 min read · Just now Having appropriate dtypes for your … Read more
I work with lots of environmental time series data from stationary instruments. This post describes why you should avoid mixing data and metadata in a single file and instead suggests … Read more
Today, Amazon DynamoDB announces the general availability of incremental export to S3, that allows you to export only the data that has changed within a specified time interval. With incremental … Read more
This is the most common method and the one you will surely know. Anyway, we are going to study it because I will show advanced analysis techniques in these cases. … Read more
Essentially our app has two columns. The first contains a text box for the user to enter their query, a set of radio buttons that allows us to switch between … Read more
Now, the Google Maps API key can be added to the .env file that we set up earlier OPENAI_API_KEY = {your open ai key}GOOGLE_PALM_API_KEY = {your google palm api key}GOOGLE_MAPS_API_KEY … Read more
The goal is more to get acquainted with the tools needed to build a service like this rather than actually deploy the application, but along the way we’ll learn a … Read more
Results from tests devised to compare the power and limitations of these language models that are just an URL away Published in · 22 min read · 1 hour ago … Read more
Benchmarking NOAA’s Hurricane Outlooks Published in · 10 min read · Just now Hurricane from Space by Leonardo AI DreamShaper_v7 model Plotting discrete data is straightforward; representing ranges of data … Read more
Explore the practices for sustainably mitigating the cost of speedy delivery—with implementation codes Published in · 10 min read · Just now As the machine learning (ML) community advances over … Read more
Using unsupervised machine learning, FastAPI and Docker Published in · 15 min read · Just now Image by author. Problem statement Extract colors from images Project structure Code Deploy the … Read more
Data visualization is a crucial tool in the data scientist’s toolkit. It allows us to explore and communicate complex patterns and insights effectively. In the world of R programming, one … Read more
[This article was first published on ouR data generation, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content … Read more
If you didn’t read or if you don’t remember my post Using implicitization to split a ball, take a look at it before reading this one. To sum up, I … Read more
This post has been cross-posted on the R-hub blog, and the R-hub blog maintainers have contributed to the review and improvement of this post. In a previous R-hub blog post, … Read more
As part of our multilingual publishing project, and with funding from the R Consortium, we’ve worked on the R package babeldown for translating Markdown-based content using the DeepL API. In … Read more
A PySpark tutorial on regression modeling with Random Forest Published in · 6 min read · Just now Photo by Jachan DeVol on Unsplash PySpark is a powerful data processing … Read more
The reasoning framework for making life and career-defining decisions Published in · 13 min read · 2 hours ago If choosing the appropriate degree course or program to study Artificial … Read more
Get more from your aggregations by using SQL window functions Published in · 15 min read · Sep 17 Photo by Components AI on Unsplash Introduction When it comes to … Read more
You can now use Amazon SageMaker Model Monitor to run a single execution of a monitoring job, enabling you to get results for your machine learning and data performance on … Read more
Javier Orraca-Deatcu of the Southern California R User Group (SoCal RUG) highlighted his work at a health insurance company for quality of life improvements through data science models. He uses … Read more
Peak Detection is a challenging step in many applications. Read and learn how to accurately detect peaks and valleys in 1D vectors and 2D arrays (images). Published in · 13 … Read more
A quick tutorial to perform a geospatial points pattern analysis in Python. Published in · 8 min read · 1 hour ago Photo by Bernard Hermant on Unsplash Geospatial Data … Read more
Data visualization is a crucial tool in data analysis, allowing us to gain insights from our data quickly. One of the fundamental techniques for exploring relationships between variables is the … Read more
Learn about key techniques used for BERT optimisation Published in · 5 min read · Just now The appearance of the BERT model led to significant progress in NLP. Deriving … Read more
A complete guide to everything I wish I’d done before starting my Data Science journey, here’s to acing your first year in data Published in · 17 min read · … Read more
Matplotlib Tutorial How to draw beautiful maps with Python and Matplotlib Published in · 10 min read · Just now Map created by the author Yes, I created the map … Read more
New exciting ideas that marry causality with generative modeling, conformal prediction and topology. Published in · 7 min read · 5 hours ago Image by Pixabay at Pexels.com NeurIPS is … Read more
My dqrng package has some quite old issues, one is “More distribution functions” where I brought forward the idea to support additional distribution functions within dqrng, which currently only supports … Read more
Rite-Aid closed 60+ stores in 2021. They said they’d nuke over 1,000 of them over three years, back in 2022. And, they’re now about to close ~500 due to bankruptcy. … Read more
Photo by Leiada Krozjhen on Unsplash Member-only story A cutting-edge unsupervised method for noise removal, dimensionality reduction, anomaly detection, and more Published in · 7 min read · Just now … Read more
In this article, we will build a neural network from scratch and use it to classify handwritten digits. Why reinvent the wheel/neural network, I hear you say? Can’t I just … Read more
In this first article, we’ll dive into ggml, the fantastic tensor library created by Georgi Gerganov. How does it work? How is the tensor creation process? Can we start with … Read more
In conclusion, the Q-learning agent converged to a sub-optimal strategy as mentioned previously. Moreover, a portion of the environment remains unexplored by the Q-function, which prevents the agent from finding … Read more
This post is based on our RANLP 2023 paper “Exploring the Landscape of Natural Language Processing Research”. You can read more details there. As an efficient approach to understand, generate, … Read more
In our ongoing series on Machine Learning Risk Management, we’ve embarked on a journey to unravel the critical elements that ensure the trustworthiness of Machine Learning (ML) systems. In our … Read more
Create, build an publish a Python Package in 5 minutes Published in · 6 min read · 1 hour ago (image by Erda Estremera on Unsplash) Python packages are collections … Read more
Don’t let heuristics undermine your ML, learn to combine them Published in · 6 min read · 2 hours ago In today’s data-driven landscape, recommendation systems power everything from social … Read more
So this tweet came across my feed. To save you going there it is about a selection exercise for a job for (I think) an IT start up, described proudly … Read more
Leveraging Semi-Supervised Concept-based Models with CME CME relies on a similar observation highlighted in [3], where it was observed that vanilla CNN models often retain a high amount of information … Read more
With IAM Roles Anywhere you can use temporary credentials instead of long-lived credentials, which can help improve your security posture. Using IAM Roles Anywhere can reduce support costs and operational … Read more