Data Science – Page 27 – The Ai Vanguard

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A classy approach to solving Traveling Salesman Problems effectively with Python | by Carlos J. Uribe

Data ScienceJune 15, 2025131Views 0Likes 0Comments

Here we won’t start from scratch. As stated earlier, we already developed the code that builds a Pyomo model of the TSP and solves it in sprint 3. And trust me, that was the hardest part. Now, we have the easier task of organizing what we did in a way that makes it general, hiding…

A Comprehensive Overview of Gaussian Splatting | by Kate Yurkova | Dec, 2023

Data ScienceJune 15, 2025132Views 0Likes 0Comments

Additionally, Gaussian splatting doesn’t involve any neutral network at all. There isn’t even a small MLP, nothing “neural”, a scene is essentially just a set of points in space. This in itself is already an attention grabber. It is quite refreshing to see such a method gaining popularity in our AI-obsessed world with research companies…

Enhanced Large Language Models as Reasoning Engines | by Anthony Alcaraz | Dec, 2023

Data ScienceJune 15, 2025138Views 0Likes 0Comments

The recent exponential advances in natural language processing capabilities from large language models (LLMs) have stirred tremendous excitement about their potential to achieve human-level intelligence. Their ability to produce remarkably coherent text and engage in dialogue after exposure to vast datasets seems to point towards flexible, general purpose reasoning skills. However, a growing chorus of…

5 Questions Every Data Scientist Should Hardcode into Their Brain | by Shaw Talebi | Dec, 2023

Data ScienceJune 15, 2025134Views 0Likes 0Comments

When I began my data science journey in grad school, I had a naive view of the discipline. Namely, I was hyper-focused on learning tools and technologies (e.g. LSTM, SHAP, VAE, SOM, SQL, etc.) While a technical foundation is necessary to be a successful data scientist, focusing too much on tools creates the “Hammer Problem”…

Understanding LoRA — Low Rank Adaptation For Finetuning Large Models | by Bhavin Jawade | Dec, 2023

Data ScienceJune 15, 2025147Views 0Likes 0Comments

Math behind this parameter efficient finetuning method Fine-tuning large pre-trained models is computationally challenging, often involving adjustment of millions of parameters. This traditional fine-tuning approach, while effective, demands substantial computational resources and time, posing a bottleneck for adapting these models to specific tasks. LoRA presented an effective solution to this problem by decomposing the update…

Chatbots Caught in the (Legal) Crossfire | by Tea Mustać | Dec, 2023

Data ScienceJune 15, 2025126Views 0Likes 0Comments

1. Choosing a Chatbot As simple as this one may sound, it is far from a trivial question. The options are manifold and include choosing to build your own chatbot using open-sourced code.[1] Using one of the gazillion chatbot APIs offered on the market, that allow you the simplest and quickest ready-set-go set-up.[2] Finetuning your…

A Business Lens on Precision and Recall | by Matt Sosna | Dec, 2023

Data ScienceJune 15, 2025148Views 0Likes 0Comments

Social media spam as a case study Photo by Nong on UnsplashDisclaimer: the examples in this post are for illustrative purposes and are not commentary on any specific content policy at any specific company. All views expressed in this article are mine and do not reflect my employer. Why is there any spam on social…

Business Analytics with LangChain and LLMs | by Naser Tamimi | Dec, 2023

Data ScienceJune 15, 2025138Views 0Likes 0Comments

GENERATIVE AI A step-by-step tutorial on query SQL databases with human language Image by the author (generated via Midjourney)Many businesses have a lot of proprietary data stored in their databases. If there’s a virtual agent that understands human language and can query these databases, it opens up big opportunities for these businesses. Think of customer…

Test and Cover Your Code Today!. A hands-on guide for adding a… | by Itay Bittan | Dec, 2023

Data ScienceJune 15, 2025157Views 0Likes 0Comments

Photo by Yancy Min on UnsplashA hands-on guide for adding a motivational GitHub action to your repository I’ll start with a confession: as a software engineer, I hated and avoided writing tests for years. I came across so many dusty projects — some with no tests at all, others that had tests but those had…

Beyond English: Implementing a multilingual RAG solution | by Jesper Alkestrup | Dec, 2023

Data ScienceJune 15, 2025141Views 0Likes 0Comments

Splitting text, the simple way (Image generated by author w. Dall-E 3)When preparing data for embedding and retrieval in a RAG system, splitting the text into appropriately sized chunks is crucial. This process is guided by two main factors, Model Constraints and Retrieval Effectiveness. Model Constraints Embedding models have a maximum token length for input;…