research

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.

10 months 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…

10 months 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…

10 months 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…

10 months 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 •…

10 months ago

5 Python Libraries for Advanced Time Series Forecasting

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

10 months 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…

10 months ago

Train a Model Faster with torch.compile and Gradient Accumulation

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

10 months ago

Training a Model with Limited Memory using Mixed Precision and Gradient Checkpointing

This article is divided into three parts; they are: • Floating-point Numbers • Automatic Mixed Precision Training • Gradient Checkpointing…

10 months ago

Practical Agentic Coding with Google Jules

If you have an interest in agentic coding, there's a pretty good chance you've heard of

10 months ago