Due to the recent surge in popularity of AI and language models, one of the most common questions I hear is: How can we train a specialized LLM over our own data? The answer is actually pretty simple… TL;DR: Training LLMs end-to-end is quite difficult due to the size of the model (unless you work for OpenAI and have a... See more

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax. EasyLM can scale up LLM training to hundreds of TPU/GPU accelerators by leveraging JAX's pjit functionality.

Building on top of Hugginface's transformers and datasets, this repo provides an easy to use and easy... See more

LoRA is a genius idea. To understand the fine-tuning of Large Language Models, you must understand how LoRA works. By the end of this post, you'll know everything important about how it works. Large Language Models are good generalists, but they have little... See more

AI model serving engine on FastAPI https://t.co/4YArLydsAK