Source nvidia blog

Jul 23, 2024

By Chintan Patel and Nirmal Kumar Juluru

The newly unveiled Llama 3.1 collection of 8B, 70B, and 405B large language models(LLMs) is narrowing the gap between proprietary and open-source models. Their open nature is attracting more developers and enterprises to integrate these models into their AI applications.

These models excel at various tasks including content generation, coding, and deep reasoning, and can be used to power enterprise applications for use cases like chatbots, natural language processing, and language translation.

The Llama 3.1 405B model, thanks to the sheer size of its training data, is an excellent candidate for generating synthetic data to tune other LLMs. This is especially useful in industries like healthcare, finance, and retail where real-world data is out of reach due to compliance requirements.

Additionally, Llama 3.1 405B can also be tuned with domain-specific data to serve enterprise use cases.

Enterprises experience better accuracy once they customize the LLMs to accommodate their organizational requirements with domain knowledge and skills, the company’s vocabulary, and other cultural nuances.