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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXLLaDA: The Diffusion Model That Could Redefine Language Generation
How LLaDA works, why it matters, and how it could shape the next generation of LLMs The post LLaDA: The Diffusion Model That Could Redefine Language Generation appeared first on Towards Data Science.
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OpenHands: Open Source AI Software Developer
Build, test, and deploy a complete application in minutes β just by chatting with OpenHands.
7 Best Strategies (Besides Job Portals) to Land Top-Paying Jobs in 2025
Tired of the job portal grind? Donβt just applyβmake them come to you! Check out 7 powerful strategies to land top-paying tech jobs in 2025.
A Beginnerβs Guide to Integrating LLMs with Your Data Science Projects
Learn the best ways to use LLM in your data projects.
When Optimal is the Enemy of Good: High-Budget Differential Privacy for Medical AI
Can we guarantee patient privacy without sacrificing model accuracy? The post When Optimal is the Enemy of Good: High-Budget Differential Privacy for Medical AI appeared first on Towards Data Science.
Is Python Set to Surpass Its Competitors?
The features that make Python the most suitable programming language for most people The post Is Python Set to Surpass Its Competitors? appeared first on Towards Data Science.
Efficient Data Handling in Python with Arrow
Introducing Arrow to those who are still unaware of its power The post Efficient Data Handling in Python with Arrow appeared first on Towards Data Science.
Breaking the Bottleneck: GPU-Optimised Video Processing for Deep Learning
Accelerate your AI video workflows with end-to-end GPU video processing The post Breaking the Bottleneck: GPU-Optimised Video Processing for Deep Learning appeared first on Towards Data Science.
Start building with Gemini 2.0 Flash and Flash-Lite
Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI
30 Must-Know Tools for Python Development
A structured overview of the essential tools developers can use across different aspects of Python development
Generative AI for Data Scientists in 2025: Beyond Text Generation
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Optimizing Memory Usage with NumPy Arrays
Learn how to effectively optimize memory usage using NumPy arrays in Python.
10 Essential Docker Commands for Data Engineering
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Enhancing RAG: Beyond Vanilla Approaches
Retrieval-Augmented Generation (RAG) is a powerful technique that enhances language models by incorporating external information retrieval mechanisms. While standard RAG implementations improve response relevance, they often struggle in complex retrieval scenarios. This article explores the limitations of a vanilla RAG setup and introduces advanced techniques to enhance its accuracy and efficiency. The Challenge with...
Auto-Completion Style Text Generation with GPT-2 Model
This post is in six parts; they are: β’ Traditional vs Neural Approaches β’ Auto-Complete Architecture β’ Basic Auto-Complete Implementation β’ Caching and Batched Input When you type in a word in Google's search bar, such as "machine", you may find some additional words are suggested, such as "learning," to make up "machine learning".
The Next AI Revolution: A Tutorial Using VAEs to Generate High-Quality Synthetic Data
Leverage the BasicVAE architecture to generate synthetic data and improves the classification accuracy on an imbalanced dataset The post The Next AI Revolution: A Tutorial Using VAEs to Generate High-Quality Synthetic Data appeared first on Towards Data Science.
Do European M&Ms Actually Taste Better than American M&Ms?
An overly-enthusiastic application of science and data visualization to a question weβve all been asking The post Do European M&Ms Actually Taste Better than American M&Ms? appeared first on Towards Data Science.
Talking about Games
Game Theory 101: terms and concepts The post Talking about Games appeared first on Towards Data Science.
Using DistilBERT for Resource-Efficient Natural Language Processing
DistilBERT is a smaller, faster version of BERT that performs well with fewer resources. Itβs perfect for environments with limited processing power and memory.
Becoming an Machine Learning Engineer in 2025
Read some honest advice on how to become a machine learning engineer.
Becoming a Machine Learning Engineer in 2025
Read some honest advice on how to become a machine learning engineer.
Understanding RAG Part VI: Effective Retrieval Optimization
Be sure to check out the previous articles in this series: β’
Unraveling Spatially Variable Genes: A Statistical Perspective on Spatial Transcriptomics
The article was written by Guanao Yan, Ph.D. student of Statistics and Data Science at UCLA. Guanao is the first author of the Nature Communications review article [1]. Spatially resolved transcriptomics (SRT) is revolutionizing genomics by enabling the high-throughput measurement of gene expression while preserving spatial context. Unlike single-cell RNA sequencing (scRNA-seq), which captures transcriptomes [β¦] The...
How To Generate GIFs from 3D Models with Python
Complete Tutorial to Automate 3D Data Visualization. Use Python to convert point clouds and 3D models into GIFs & MP4s for easy sharing and collaboration The post How To Generate GIFs from 3D Models with Python appeared first on Towards Data Science.
Reinforcement Learning with PDEs
Previously we discussed applying reinforcement learning to Ordinary Differential Equations (ODEs) by integrating ODEs within gymnasium. ODEs are a powerful tool that can describe a wide range of systems but are limited to a single variable. Partial Differential Equations (PDEs) are differential equations involving derivatives of multiple variables that can cover a far broader range [β¦] The post Reinforcement Learning...
How to Use an LLM-Powered Boilerplate for Building Your Own Node.js API
For a long time, one of the common ways to start new Node.js projects was using boilerplate templates. These templates help developers reuse familiar code structures and implement standard features, such as access to cloud file storage. With the latest developments in LLM, project boilerplates appear to be more useful than ever. Building on this [β¦] The post How to Use an LLM-Powered Boilerplate for Building Your Own...
Donβt Let Conda Eat Your Hard Drive
If youβre an Anaconda user, you know thatconda environmentshelp you manage package dependencies, avoid compatibility conflicts, and share your projects with others. Unfortunately, they can also take over your computerβs hard drive. I write lots of computer tutorials and to keep them organized, each has a dedicated folder structure complete with a conda environment. This [β¦] The post Donβt Let Conda Eat Your Hard Drive...
Data Scientist, Data Engineer, or Technology Manager: Which Job Is Right for You?
Whatever role is best for youβdata scientist, data engineer, or technology managerβNorthwestern University's MS in Data Science program will help you to prepare for the jobs of today and the jobs of the future.
AI Agents from Zero to Hero β Part 1
Intro AI Agents are autonomous programs that perform tasks, make decisions, and communicate with others. Normally, they use a set of tools to help complete tasks. In GenAI applications, these Agents process sequential reasoning and can use external tools (like web searches or database queries) when the LLM knowledge isnβt enough. Unlike a basic chatbot, [β¦] The post AI Agents from Zero to Hero β Part 1 appeared first...
Big O Complexity Cheat Sheet for Coding Interviews
This is a comprehensive cheat sheet on algorithmic complexity for coding interviews.
Hosting Khoj for Free: Your Personal Autonomous AI App
Turn your local LLMs into a personal, autonomous AI application that can effortlessly retrieve answers from the web or your documents.
Why Data Scientists Should Care about Containers β and Stand Out with This Knowledge
βI train models, analyze data and create dashboards β why should I care about containers?β Many people who are new to the world of data science ask themselves this question. But imagine you have trained a model that runs perfectly on your laptop. However, error messages keep popping up in the cloud when others access [β¦] The post Why Data Scientists Should Care about Containers β and Stand Out with This Knowledge...
Advanced Time Intelligence in DAX with Performance in Mind
We all know the usual Time Intelligence function based on years, quarters, months, and days. Butsometimes, we need to perform more exotic timer intelligence calculations. But we should not forget to consider performance while programming the measures. Introduction There are many DAX functions in Power BI for Time Intelligence Measures. The most common are: You [β¦] The post Advanced Time Intelligence in DAX with...
Multimodal Search Engine Agents Powered by BLIP-2 and Gemini
This post was co-authored with Rafael Guedes. Introduction Traditional models can only process a single type of data, such as text, images, or tabular data. Multimodality is a trending concept in the AI research community, referring to a modelβs ability to learn from multiple types of data simultaneously. This new technology (not really new, but [β¦] The post Multimodal Search Engine Agents Powered by BLIP-2 and Gemini...
Formulation of Feature Circuits with Sparse Autoencoders in LLM
Large Language models (LLMs) have witnessed impressive progress and these large models can do a variety of tasks, from generating human-like text to answering questions. However, understanding how these models work still remains challenging, especially due a phenomenon called superposition where features are mixed into one neuron, making it very difficult to extract human understandable [β¦] The post Formulation of...