Introduction: Why this project matters? Training instruction following LLMs is no longer just about...
Introduction: Why this project matters?
Training instruction following LLMs is no longer just about scaling models. It is about scaling data quality.
In high resource languages like English, datasets such as Alpaca and OpenAssistant already exist. However, in low resource languages like Persian, high quality instruction datasets are extremely limited.
Most available Persian corpora suffer from:
• lack of instruction structure
Large Language Models (LLMs) have revolutionized how we interact with and build conversational AI systems. While these models…
A practical walkthrough of LoRA and QLoRA -- how low-rank adaptation works, what NF4 quantization brings, and when to use each.
A Blog post by Omar Kamali on Hugging Face
The landscape of Large Language Models (LLMs) is rapidly evolving, with context lengths expanding from a few thousand tokens a…
Most discussions about LLM performance focus on the model architecture and prompting. But there's a hidden factor: the tokenizer.…
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv and feedback from readers. If you’d like to support…
