AI/ML Techniques

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…

1 year ago

10 Must-Know Python Libraries for LLMs in 2025

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

1 year 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 •…

1 year 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…

2 years ago

Understanding RAG Part VIII: Mitigating Hallucinations in RAG

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

2 years ago

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

For many people studying data science,

2 years 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.

2 years 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.

2 years ago

The Roadmap for Mastering Language Models in 2025

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

2 years ago

Statistical Methods for Evaluating LLM Performance

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

2 years ago