Meta’s LLaMA: A New Language Model for AI Research

Last updated on May 29th, 2023 at 09:05 pm

2 minutes read

Large language models (LLMs) have gained popularity recently in the artificial intelligence community (AI). These models, which are usually built using deep learning techniques, are able to process enormous volumes of textual data and produce responses that resemble those of humans in response to a range of different cues.


The LLaMA(Large Language Model Meta AI), created by the company Meta, is one of the newest and most exciting advancements in the field of LLMs. We’ll examine LLaMA’s definition and operation in further detail in this blog article.

Like previous large language models, LLaMA creates text by recursively generating sentences from a set of words as input and predicting the following word. The 20 languages with the greatest number of speakers were used to train our model, with a concentration on those that used the Latin and Cyrillic alphabets. 

According to Meta, it would allow researchers access to the technology’s possible drawbacks and help them develop solutions. LLaMA, a relatively compact yet potent model that should assist researchers in addressing the potentially dangerous and occasionally absurd flaws of AI.

“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,” Meta noted.

A set of models with 7 billion to 65 billion parameters makes up LLaMA. The largest models, LLaMA 65B and LLaMA 33B, received 1.4 trillion tokens for training, while LLaMA 7B received one trillion tokens. Only datasets that were openly accessible were used to train the models.

Persons and organizations requesting access to the model will be considered on a case-by-case basis and released under a noncommercial license focused on research use cases in order “to maintain integrity and prevent misuse.” Academic researchers, organizations from the public and private sectors, and businesses with research facilities are all eligible parties.

You may read the complete LLaMA paper here. You can apply to test the language model if you meet the requirements.

Source: Meta Blog

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Lorence Laudenio

Lorence is an IT grad who loves to travel. He shares tech updates, trends, and his travel journey, aiming to inspire others by blending his passions.

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