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.

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.

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.

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.

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.

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 Vanilla […]
The post Enhancing RAG: Beyond Vanilla Approaches appeared first on Towards Data Science.

From Theory to practice: understanding RAG, agents, fine-tuning, and more
The post 6 Common LLM Customization Strategies Briefly Explained appeared first on Towards Data Science.

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.