In this short piece, I use public Wikipedia data, Python programming, and network analysis to extract and draw up a network of Oscar-winning actors and actresses. All images were created by the author. Wikipedia, as the largest free, crowdsourced online encyclopedia, serves as a tremendously rich data source on various public domains. Many of these…

Some of the struggles I face frequently as a data scientist Photo by ThisIsEngineering from Pexels: https://www.pexels.com/photo/female-software-engineer-coding-on-computer-3861972/Ostensibly, it may seem that being a data scientist is all sunshine and rainbows (at least I think that is the perception I give from my posts!). High pay, great benefits, flexible hours, and interesting work are some things…

An end-to-end implementation of a Pytorch Transformer, in which we will cover key concepts such as self-attention, encoders, decoders, and much more. 17 min read · 18 hours ago Photo by Susan Holt Simpson on UnsplashWhen I decided to dig deeper into Transformer architectures, I often felt frustrated when reading or watching…

Choosing the model that works best for your data We’ll use the EU AI act as the data corpus for our embedding model comparison. Image by Dall-E 3.OpenAI recently released their new generation of embedding models, called embedding v3, which they describe as their most performant embedding models, with higher multilingual performances. The models come…

Discover how FinalMLP transforms online recommendations: unlocking personalized experiences with cutting-edge AI research This post was co-authored with Rafael Guedes. The world has been evolving towards a digital era where everyone has nearly everything they want at a click of distance. These benefits of accessibility, comfort, and a large quantity of offers come with new…

Let’s begin with setting out what fine-tuning should do from a high level. Once you have a pre-trained a model to have strong generative capacities, you typically want to control its output somehow. Whether that be optimizing it to respond in dialogue as a chat-bot or to respond in code rather than English, the goal…

As a bonus, get the code to apply feature extraction anywhere Image created by DALL·E 3 based on the prompt “Draw a pack of futuristic grey wolves at night by the beach.”This is the last part of my series of nature-inspired articles. Earlier, I had talked about algorithms inspired by genetics, swarm, bees, and ants.…

Featurizing time series data into a standard tabular format for classical ML models and improving accuracy using AutoML Source: Ahasanara AkterThis article delves into enhancing the process of forecasting daily energy consumption levels by transforming a time series dataset into a tabular format using open-source libraries. We explore the application of a popular multiclass classification…

Whether you’re applying to your first internship to running a multidisciplinary team of analysts and engineers, data science careers come with their own specific set of challenges. Some of these might be more exciting than others, and others can be downright tedious—that’s true in any job, of course—but we believe in framing all of these…

Imports We import modules from Hugging Face’s transforms, peft, and datasets libraries. from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline from peft import prepare_model_for_kbit_training from peft import LoraConfig, get_peft_model from datasets import load_dataset import transformers Additionally, we need the following dependencies installed for some of the previous modules to work. !pip install auto-gptq !pip install optimum !pip…