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Avoidable and Unavoidable Randomness in GPT-4o
Exploring the sources of randomness in GPT-4o from the known and controllable to the opaque and uncontrollable. The post Avoidable and Unavoidable Randomness in GPT-4o appeared first on Towards Data Science.
Published on: March 03, 2025 | Source:
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Text Generation with GPT-2 Model
This tutorial is in four parts; they are: β’ The Core Text Generation Implementation β’ Contrastive Search: What are the Parameters in Text Generation? β’ Batch Processing and Padding β’ Tips for Better Generation Results Let's start with a basic implementation that demonstrates the fundamental concept.
Published on: March 01, 2025 | Source:Text Generation using Contrastive Search with GPT-2 Model
This tutorial is in four parts; they are: β’ The Core Text Generation Implementation β’ Contrastive Search: What are the Parameters in Text Generation? β’ Batch Processing and Padding β’ Tips for Better Generation Results Let's start with a basic implementation that demonstrates the fundamental concept.
Published on: March 01, 2025 | Source:Vision Transformers (ViT) Explained: Are They Better Than CNNs?
Understanding how a groundbreaking architecture for computer vision tasks works The post Vision Transformers (ViT) Explained: Are They Better Than CNNs? appeared first on Towards Data Science.
Published on: February 28, 2025 | Source:Unraveling Large Language Model Hallucinations
Understanding hallucinations as emergent cognitive effects of the training pipeline The post Unraveling Large Language Model Hallucinations appeared first on Towards Data Science.
Published on: February 28, 2025 | Source:Announcing the Towards Data Science Author Payment Program
Rewarding contributors for the time and effort required to write great articles The post Announcing the Towards Data Science Author Payment Program appeared first on Towards Data Science.
Published on: February 28, 2025 | Source:BentoML: MLOps for Beginners
Learn how to build, test, deploy, and monitor machine learning models in the cloud with the BentoML ecosystem.
Published on: February 28, 2025 | Source:I Wonβt Change Unless You Do
Game Theory 101: The Nash equilibrium The post I Wonβt Change Unless You Do appeared first on Towards Data Science.
Published on: February 28, 2025 | Source:Write for Towards Data Science
Quick Links: Why become a contributor? We are looking for writers to propose up-to-date content focused on data science, machine learning, artificial intelligence and programming. If you love to write about these topics, read on! Reach a broader audience with your articles. We are one of the most popular data science sites in the world. [β¦] The post Write for Towards Data Science appeared first on Towards Data Science....
Published on: February 27, 2025 | Source:Debugging the Dreaded NaN
Capturing and reproducing failures in PyTorch training with Lightning The post Debugging the Dreaded NaN appeared first on Towards Data Science.
Published on: February 27, 2025 | Source:How LLMs Work: Reinforcement Learning, RLHF, DeepSeek R1, OpenAI o1, AlphaGo
Part 2 of the LLM deep dive The post How LLMs Work: Reinforcement Learning, RLHF, DeepSeek R1, OpenAI o1, AlphaGo appeared first on Towards Data Science.
Published on: February 27, 2025 | Source:11 Python Libraries Every AI Engineer Should Know
Looking to build your AI engineer toolkit in 2025? Here are Python libraries and frameworks you canβt miss!
Published on: February 27, 2025 | Source:DeepSeek-Level AI? Train Your Own Reasoning Model in Just 7 Easy Steps!
Who needs a supercomputer? Train your own powerful AI reasoning model with just 15GB VRAM!
Published on: February 27, 2025 | Source:The Dangers of Deceptive DataβConfusing Charts and Misleading Headlines
A deep dive into the ways data can be used to misinform the masses The post The Dangers of Deceptive DataβConfusing Charts and Misleading Headlines appeared first on Towards Data Science.
Published on: February 27, 2025 | Source:Nine Rules for SIMD Acceleration of Your Rust Code (Part 1)
General Lessons from Boosting Data Ingestion in the range-set-blaze Crate by 7x The post Nine Rules for SIMD Acceleration of Your Rust Code (Part 1) appeared first on Towards Data Science.
Published on: February 27, 2025 | Source:LLaDA: 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.
Published on: February 26, 2025 | Source:OpenHands: Open Source AI Software Developer
Build, test, and deploy a complete application in minutes β just by chatting with OpenHands.
Published on: February 26, 2025 | Source: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.
Published on: February 26, 2025 | Source:A Beginnerβs Guide to Integrating LLMs with Your Data Science Projects
Learn the best ways to use LLM in your data projects.
Published on: February 26, 2025 | Source: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.
Published on: February 26, 2025 | Source: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.
Published on: February 26, 2025 | Source: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.
Published on: February 25, 2025 | Source: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.
Published on: February 25, 2025 | Source:30 Must-Know Tools for Python Development
A structured overview of the essential tools developers can use across different aspects of Python development
Published on: February 25, 2025 | Source:Generative AI for Data Scientists in 2025: Beyond Text Generation
Directions to become "upgraded" data scientists prepared to fully leverage generative AI technologies in the year ahead.
Published on: February 25, 2025 | Source:Optimizing Memory Usage with NumPy Arrays
Learn how to effectively optimize memory usage using NumPy arrays in Python.
Published on: February 25, 2025 | Source:10 Essential Docker Commands for Data Engineering
Tired of 'it works on my machine' problems? Learn the top 10 Docker commands every data engineer needs to build, deploy, and scale projects like a pro!
Published on: February 25, 2025 | Source: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...
Published on: February 25, 2025 | Source: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".
Published on: February 24, 2025 | Source: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.
Published on: February 21, 2025 | Source: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.
Published on: February 21, 2025 | Source:Talking about Games
Game Theory 101: terms and concepts The post Talking about Games appeared first on Towards Data Science.
Published on: February 21, 2025 | Source: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.
Published on: February 21, 2025 | Source:Becoming a Machine Learning Engineer in 2025
Read some honest advice on how to become a machine learning engineer.
Published on: February 21, 2025 | Source:Becoming an Machine Learning Engineer in 2025
Read some honest advice on how to become a machine learning engineer.
Published on: February 21, 2025 | Source: