Thomas Capelle

Exploring how SoftMax implementation can impact model performance using Karpathy's Tiny llama implementation.

This article explores how to run LLMs locally on your computer using llama.cpp — a repository that enables you to run a model locally in no time with consumer hardware.

Let's try PyTorch's new Metal backend on Apple Macs equipped with M1 processors!

In this article, we look at how to train a conditional diffusion model and find out what you can learn by doing so, using W&B to log and track our experiments.

In this article, we compare outputs from GPT-3.5_turbo and GPT-4, and explore how to use GPT-4 as a code assistant, using a simple CLI termGPT to access the models.

In this article, we explore how to create an automated translating tool powered by LangChain and GPT-4 to help get your website to international audiences.

Let's build a minimal app to interact with chatGPT without leaving the terminal

Here you will find all the relevant information to get you started on training a diffusion model for solar energy forecasting

In this article, we explore whether the recent addition of the M2Pro chipset to the Apple Mac Mini family works as a replacement for your power hungry workstation.

Exploring how to get the best out of the Hugging Face Trainer and subclasses

Learn how to fine-tune an LLM on an instruction dataset! We'll cover how to format the data and train a model like Llama2, Mistral, etc. is this minimal example in (almost) pure PyTorch.

In part 1, we prepped our dataset. In part 2, we train our model