research

A Gentle Introduction to Language Model Fine-tuning

This article is divided into four parts; they are: • The Reason for Fine-tuning a Model • Dataset for Fine-tuning…

1 month ago

7 Agentic AI Trends to Watch in 2026

The agentic AI field is moving from experimental prototypes to production-ready autonomous systems.

1 month ago

Gradient Descent:The Engine of Machine Learning Optimization

Editor's note: This article is a part of our series on visualizing the foundations of machine learning.

1 month ago

Train Your Large Model on Multiple GPUs with Tensor Parallelism

This article is divided into five parts; they are: • An Example of Tensor Parallelism • Setting Up Tensor Parallelism…

1 month ago

Train Your Large Model on Multiple GPUs with Fully Sharded Data Parallelism

This article is divided into five parts; they are: • Introduction to Fully Sharded Data Parallel • Preparing Model for…

1 month ago

Beyond Short-term Memory: The 3 Types of Long-term Memory AI Agents Need

If you've built chatbots or worked with language models, you're already familiar with how AI systems handle memory within a…

1 month ago

Train Your Large Model on Multiple GPUs with Pipeline Parallelism

This article is divided into six parts; they are: • Pipeline Parallelism Overview • Model Preparation for Pipeline Parallelism •…

1 month ago

5 Python Libraries for Advanced Time Series Forecasting

Predicting the future has always been the holy grail of analytics.

1 month ago

Training a Model on Multiple GPUs with Data Parallelism

This article is divided into two parts; they are: • Data Parallelism • Distributed Data Parallelism If you have multiple…

1 month ago

Train a Model Faster with torch.compile and Gradient Accumulation

This article is divided into two parts; they are: • Using `torch.

1 month ago