This article is divided into two parts; they are: • Data Parallelism • Distributed Data Parallelism If you have multiple…
This article is divided into two parts; they are: • Using `torch.
This article is divided into three parts; they are: • Floating-point Numbers • Automatic Mixed Precision Training • Gradient Checkpointing…
If you have an interest in agentic coding, there's a pretty good chance you've heard of
This article is divided into two parts; they are: • What Is Perplexity and How to Compute It • Evaluate…
If you spend any time working with real-world data, you quickly realize that not everything comes in neat, clean numbers.
This article is divided into three parts; they are: • Training a Tokenizer with Special Tokens • Preparing the Training…
This article is divided into two parts; they are: • Simple RoPE • RoPE for Long Context Length Compared to…
Agentic coding only feels "smart" when it ships correct diffs, passes tests, and leaves a paper trail you can trust.
Large language models (LLMs) like Mistral 7B and Llama 3 8B have shaken the AI field, but their broad nature…