Llama 2: A More Powerful Open-Source Large Language Model
Llama 2, the latest version of the open-source large language model created by Meta and Microsoft, has just been released. This version includes model weights and starting code for a range of pretrained and fine-tuned language models, with parameters ranging from 7B to 70B. Llama 2 was trained on 40% more data than its predecessor, Llama 1, and has double the context length.
Training Llama-2-chat
The Llama-2-chat model is created by first pretraining Llama 2 using publicly available online data, and then fine-tuning it through supervised learning. The model is then refined using Reinforcement Learning from Human Feedback (RLHF), which includes rejection sampling and proximal policy optimization (PPO).
Integration with Major Cloud Providers
Llama 2 is available not only through Azure AI model catalog, but also through other major cloud providers like AWS and Hugging Face. This provides developers with a range of options to access this powerful AI tool and integrate it into their projects.
Responsible AI Development
Meta and Microsoft are committed to promoting responsible AI innovation. They emphasize transparency and community-oriented development, offering resources like red-teaming exercises, a transparency schematic, and a responsible use guide. Collaborative initiatives like the Open Innovation AI Research Community and the Llama Impact Challenge are part of the rollout, aiming to ensure that Llama 2 is used in a responsible manner across various sectors.
Overall, Llama 2 is a powerful AI tool that can be used for both research and commercial purposes. Its availability through major cloud providers makes it highly accessible, while its commitment to responsible AI development ensures that it is used in a responsible and ethical manner.
