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In October 2022, I published an article on LLM selection for specific NLP use cases , such as conversation, translation and summarisation. Since then, AI has made a huge step … Read more

Problem 3 — Fence-throwing Dehghani calls the third and final mode of failure siloed and hyper-specialised ownership, which I like to think as resulting in unproductive fence-throwing. Our hyper-specialised big … Read more

Improve workflows and expectation management in ML through technical drawings Published in · 8 min read · 1 hour ago Machine Learning (ML) projects are becoming increasingly popular in business … Read more

Learn how to use GPT-3.5 to do the heavy lifting for data acquisition, preprocessing, model training, and deployment Published in · 14 min read · 4 days ago A lot … Read more

THE DUAL-EDGED SWORD OF LARGE LANGUAGE MODELS (LLMs) You thought the 2016 Brexit and US presidential campaigns were bad? Think again. Published in · 16 min read · Just now … Read more

Here I will first summarize the explosion of research studies during the past year on a high level, and then follow up with a summary of the various technical details. … Read more

What is an Embedding? Embedding (also called Vector Embeddings) is a series of vectors providing a mathematical representation of words or sentences. The vectors capture the semantic meaning and context … Read more

To showcase the power of PyTorch Explain, let’s dive into our first tutorial! A primer on concept bottleneck models In this introductory session, we’ll dive into concept bottleneck models. These … Read more

In the rest of this article, we’ll forecast dew point temperature in several locations. You’ll learn how to build a spatio-temporal forecasting model using deep learning. The full code for … Read more

Calculating cloud cover in your area of interest, removing clouds and inpainting them using another satellite image Published in · 14 min read · 7 hours ago (source: author) Our … Read more

Prompt Engineering, SVG A quick tutorial on how to write proper prompts to make ChatGPT generate diagrams Published in · 4 min read · 11 hours ago Photo by Christina … Read more

A Ph.D. student’s exploration of the surprising parallels between academic and industrial data science Published in · 8 min read · Just now Photo by Campaign Creators on Unsplash As … Read more

More sophisticated approaches to solving even more complex tasks are now being actively developed. While they significantly outperform in some scenarios, their practical usage remains somewhat limited. I will mention … Read more

Clean, process and tokenise texts in milliseconds using in-built Polars string expressions Published in · 10 min read · Just now Photo by Stephen Phillips – Hostreviews.co.uk on Unsplash With … Read more

Published in · 6 min read · 1 hour ago Photo by James Stamler on Unsplash In this post, we explore Google’s innovative approach to training their remarkable text-to-music models, … Read more

Published in · 10 min read · 2 hours ago Source: DreamStudio (generated by author) Ask GPT-4 to prove there are infinite prime numbers — while rhyming — and it … Read more

Clustering of Twitter data with Python, K-Means, and t-SNE Published in · 17 min read · Just now Tweet clusters t-SNE visualization, Image by author In the article “What People … Read more

Explore the cutting-edge multilingual features of Meta’s latest automatic speech recognition (ASR) model Published in · 8 min read · 1 hour ago Massively Multilingual Speech (MMS)¹ is the latest … Read more

Single-threaded recursive algorithms There are algorithms that per design are not a subject of parallelization — recursive algorithms. In recursion, the current value depends on the previous values — one … Read more

Different Statistical Approaches to Detecting AI-generated Text. Published in · 6 min read · Just now Photo by Andreas Fickl on Unsplash In the fascinating and rapidly advancing realm of … Read more

The answer lies in the 75 years of NLP history Published in · 6 min read · 1 hour ago Photo by Romain Vignes on Unsplash Have you ever wondered … Read more

By virtue of writing code in the Hamiltonian way, you are defining computation within functions, and then specifying via function input arguments, how things connect, encoding lineage. Taking this code … Read more

Learn the underlying working of various unsupervised machine learning models and how they are able to generate predictions without output labels Published in · 12 min read · 1 day … Read more

The code we’ll be working with in this piece is this set of Python functions that use Pandas to read in and process data. It includes a function to read … Read more

Stop waiting and start multi-threading Published in · 4 min read · 2 hours ago Photo by Max Wolfs on Unsplash Even though Julia is one of the fastest languages … Read more

Consider, for simplicity, Y = 1 + 2X, where Y is the response variable and X is the input variable. We are often interested in how much Y changes in … Read more

2. .dvc files .dvc files use the YAML 1.2 file format, which is a human-friendly data serialization format for all programming languages. As I mention above, DVC creates one lightweight … Read more

How are deletion vectors related to DML commands and how can they improve write performance? Published in · 9 min read · Just now Photo by Sam Pak on Unsplash … Read more

Published in · 9 min read · 1 day ago In some cases we want to have a supervised learning model to play around with. While any data scientist can … Read more

With these gradients, we can use (stochastic) gradient descent to minimize the loss function on the given training set. You are given a set of images and you need to … Read more

Integrating a microprocessor, Home Assistant, Grafana, InfluxDB, and Telegram for a smarter desk and a healthier workspace Published in · 11 min read · 5 hours ago Picture generated by … Read more

Web browsing, summarizing, coding, and more Published in · 8 min read · 6 hours ago Just a few days ago, OpenAI made an exciting update by introducing web browsing … Read more

Published in · 3 min read · 9 hours ago Few things bring us more joy than publishing an author’s first TDS post. Part of it is the thrill of … Read more

A roadmap to enterprise-wide data management maturity Published in · 11 min read · Just now Photo by Joshua Sortino through Unsplash. A question stumping many organizations — how does … Read more

And outperforms Google Translate for the translation of literary works Published in · 9 min read · Just now Image from Pixabay According to previous studies, GPT models perform as … Read more

In machine learning, dimensionality reduction refers to reducing the number of input variables in the dataset. The number of input variables refers to the dimensionality of the dataset. Dimensionality reduction … Read more

When you want to scale, rotate, or translate an image, the immediate solution is to apply the transformations to each of its pixels individually. By applying the same transformation to … Read more

2.1 Problem Naive PINNs are known to have difficulties in simulating physical processes that are sensitive to small changes in the input and require a high degree of accuracy to … Read more

Harnessing the power of efficient workforce optimization to drive organizational excellence Published in · 11 min read · Just now In today’s data-driven world, organizations can efficiently allocate resources, reduce … Read more

An introduction and application of Docker for Data Scientists Published in · 7 min read · Just now Photo by Ian Taylor on Unsplash But it works on my machine? … Read more

There are two ways to improve the model accuracy: Collect more data or clean your existing data, while keeping the model constant. Use a more advanced algorithm or fine-tune the … Read more