Llama 2: The Best-Performing Open-Source Large Language Model For Chat

Sunday - August 13 2023, 06:20 UTC - 1 year ago

Llama 2 is a new family of open access pretrained and fine-tuned chat models ranging from 7 billion to 70 billion parameters. Its development has been heavily based on principles of helpfulness and safety. James Brigg discovered how to use the 70B parameter model fine-tuned for chat, and it is the best-performing open-source Large Language Model for chat as of August 2023. Retrieval Augmented Generation (RAG) helps to reduce hallucinations in these models and keep them updated with the latest information.

Llama 2 is a new family of pretrained and fine-tuned models with scales of 7 billion to 70 billion parameters. These models have demonstrated their competitiveness with existing open-source chat models, as well as competency that is equivalent to some proprietary models on evaluation sets. Although they still lag behind other models like GPT-4. They meticulously elaborated on the methods and techniques applied in achieving our models, with a heavy emphasis on their alignment with the principles of helpfulness and safety. To contribute more significantly to society and foster the pace of research, they have responsibly opened access to Llama 2 and Llama 2-Chat. As part of their ongoing commitment to transparency and safety, they plan to make further improvements to Llama 2-Chat in future work.

Retrieval Augmented Generation (RAG) allows us to keep Large Language Models (LLMs) up to date with the latest information, reduce hallucinations, and allow us to cite the original source of information being used by the LLM. They build the RAG pipeline using a Pinecone vector database, a Llama 2 13B chat model, and wrap everything in Hugging Face and LangChain code.

Llama 2 is the best-performing open-source Large Language Model (LLM) to date. James Brigg discovered how to use the 70B parameter model fine-tuned for chat (Llama 2 70B Chat) using Hugging Face transformers and LangChain. They show how to apply Llama 2 as a conversational agent within LangChain. By the end of the article, readers will have a comprehensive understanding of Llama 2 and how it can be utilized to further the development of natural language understanding technology.