Tag: Tuning

In this blog, I will guide you through the process of fine-tuning Meta’s Llama 2 7B model for news article categorization across 18 different categories. I will utilize a news classification instruction dataset that I previously created using GPT 3.5. If you’re interested ...

Catastrophic Forgetting (degrades model performance) Catastrophic forgetting occurs when a machine learning model forgets previously learned information as it learns new information. This process is especially problematic in sequential learning scenarios where the model is trained on multiple ...

The growing interest in Large Language Models (LLMs) has led to a surge in tools and wrappers designed to streamline their training process. Popular options include FastChat from LMSYS (used to train Vicuna) and Hugging Face’s transformers/trl libraries (used i...

About 2 weeks ago, the world of generative AI was shocked by the company Meta's release of the new Llama-2 AI model. Its predecessor, Llama-1, was a breaking point in the LLM industry, as with the release of its weights along with new finetuning techniques, there was a massive creation of open-s...