LlamaGuard 7B: Input-Output Safeguard Model for Data Science and Machine Learning

LlamaGuard 7B: Input-Output Safeguard Model for Data Science and Machine Learning

Explore LlamaGuard, a fine-tuned version of Meta's Llama2 7B model designed to detect unsafe content in both input and output of large language models. Learn about this innovative safeguard mechanism in a 25-minute video that delves into the project's objectives and implementation. Access the accompanying Jupyter notebook for hands-on experience with the LlamaGuard model, gaining practical insights into its application in data science and machine learning contexts.