research

Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment

Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion…

10 months ago

10 Must-Know Python Libraries for LLMs in 2025

Large language models (LLMs) are changing the way we think about AI.

10 months ago

Implementing Multilingual Translation with T5 and Transformers

This post is divided into three parts; they are: • Setting up the translation pipeline • Translation with alternatives •…

10 months ago

Bias Detection in LLM Outputs: Statistical Approaches

Natural language processing models including the wide variety of contemporary large language models (LLMs) have become popular and useful in…

10 months ago

Understanding RAG Part VIII: Mitigating Hallucinations in RAG

Be sure to check out the previous articles in this series: •

10 months ago

6 Lesser-Known Scikit-Learn Features That Will Save You Time

For many people studying data science,

10 months ago

Debugging PyTorch Machine Learning Models: A Step-by-Step Guide

Debugging machine learning models entails inspecting, discovering, and fixing possible errors in the internal mechanisms of these models.

10 months ago

A Gentle Introduction to Transformers Library

The transformers library is a Python library that provides a unified interface for working with different transformer models.

10 months ago

The Roadmap for Mastering Language Models in 2025

Large language models (LLMs) are a big step forward in artificial intelligence.

10 months ago

Statistical Methods for Evaluating LLM Performance

The large language model (LLM) has become a cornerstone of many AI applications.

10 months ago