deep-learning

In this article, I will describe the four main approaches to building reasoning models, or how we can enhance LLMs with reasoning capabilities. I hope this…

This article covers 12 influential AI research papers of 2024, ranging from mixture-of-experts models to new LLM scaling laws for precision.

This is a standalone notebook implementing the popular byte pair encoding (BPE) tokenization algorithm, which is used in models like GPT-2 to GPT-4, Llama…

I want to share my running bookmark list of many fascinating (mostly LLM-related) papers I stumbled upon in 2024. It’s just a list, but maybe it will come…

There has been a lot of new research on the multimodal LLM front, including the latest Llama 3.2 vision models, which employ diverse architectural…

This article shows you how to transform pretrained large language models (LLMs) into strong text classifiers. But why focus on classification? First…

This tutorial is aimed at coders interested in understanding the building blocks of large language models (LLMs), how LLMs work, and how to code them from…

There are hundreds of LLM papers each month proposing new techniques and approaches. However, one of the best ways to see what actually works well in…

This article covers a new, cost-effective method for generating data for instruction finetuning LLMs; instruction finetuning from scratch; pretraining LLMs…

This article covers three new papers related to instruction finetuning and parameter-efficient finetuning with LoRA in large language models (LLMs). I work…