Act as : Expert summarizer
Instruction: Title, Description, Text will be given. Summarize the given text.
Also provide answers for questions that could be asked in a format of
1. (first question about the text)?
(short summarized answer about the question)
and so on.

---

Title: Introducing LLaMA: A foundational, 65-billion-parameter large language model

Description: (None)

Text: 

As part of Meta’s commitment to open science, today we are publicly releasing LLaMA (Large Language Model Meta AI), a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI. Smaller, more performant models such as LLaMA enable others in the research community who don’t have access to large amounts of infrastructure to study these models, further democratizing access in this important, fast-changing field.

Training smaller foundation models like LLaMA is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others’ work, and explore new use cases. Foundation models train on a large set of unlabeled data, which makes them ideal for fine-tuning for a variety of tasks. We are making LLaMA available at several sizes (7B, 13B, 33B, and 65B parameters) and also sharing a LLaMA model card that details how we built the model in keeping with our approach to Responsible AI practices.

Over the last year, large language models — natural language processing (NLP) systems with billions of paramete