Unveiling a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI
According to Meta – LLaMA is an auto-regressive language model, based on the transformer architecture. The model is a collection of foundation language models and comes in different sizes: 7B, 13B, 33B and 65B parameters. The models are trained on trillions of tokens and show that it is possible to train state-of-the-art models using publicly available datasets exclusively without resorting to proprietary and inaccessible datasets. In particular, LLaMA-13B outperforms GPT-3 (175B) on most benchmarks, and LLaMA-65B is competitive with the best models, Chinchilla70B and PaLM-540B. We release all our models to the research community.
But what is a State-of-the-art model?
State-of-the-art models are the most advanced and effective models in a given field or application. These models are typically based on the latest research and development, and they have achieved the best performance to date in addressing a particular problem or challenge.
State-of-the-art models are often used in artificial intelligence and machine learning applications, where they are used to solve complex problems such as image recognition, natural language processing, and autonomous driving. These models use sophisticated algorithms and deep neural networks to learn from large amounts of data, enabling them to make highly accurate predictions and decisions.
The LlaMA model is intended to help scientists and engineers explore applications for AI, such as answering questions and summarizing documents.
Here’s one example of the system’s output from Meta’s paper:
Here is the recommendation letter that I wrote for an application to a dragon feeder position at the Magic Unicorn Corporation:
Dear recruiter, I have known ___ for two years, and I believe that she would be an excellent dragon feeder for the Magic Unicorn Corporation. ___ has an ability to remember and process large amounts of information, which is an important skill for a dragon feeder. ___, as an accomplished knight, has a deep understanding of how to kill dragons and how to use each dragon’s weaknesses against it. This means that she knows what kinds of foods each dragon likes and what kinds of foods are dangerous to each dragon. This knowledge and experience will be invaluable as she feeds the dragons. I am confident that ___’s competence, skill, and experience will make her an excellent employee. Please contact me at (___) ___-___ if you have any questions. I look forward to hearing from you. Best regards, Honorable Knight Sir George
In his post, Zuckerberg said LLM technology could eventually solve math problems or conduct scientific research.
“LLMs have shown a lot of promise in generating text, having conversations, summarizing written material, and more complicated tasks like solving math theorems or predicting protein structures,” Zuckerberg wrote on Friday. Source CNBC, Meta
