What is LLama2? : Dive into Meta AI’s Newest Open Source Language Model
Meta AI and Microsoft have come together to launch 2, the new version of Meta’s open-source large language model
LLaMA: Large Language Model Meta AI
Large Language Model Meta AI (LLaMA 1) is the first version of the state-of-the-art foundational large language model that was released by Meta in February this year.
LLaMA 1 is a remarkable set of basic models. These models vary in complexity, with some having as few as 7 billion parameters and others having up to 65 billion
LLaMA 1 stands out because training on trillion of tokens shows that state-of-the-art models can be attained solely through publicly available datasets and without the need for proprietary or inaccessible data
Remarkably, the LLaMA-13B model did better than ChatGPT on most test data ChatGPT has a much larger parameter size of 175 billion, this show that LLaMA can perform well, even with a lot fewer parameters.
The largest model of the collection, LaMA-65B, stands strong among other top models in the field of natural language processing (NLP) like Chinchilla-70B and PaLM-540B.
LLaMA stands out due to its strong emphasis on openness and accessibility. Meta AI, the creators of LLaMA, have demonstrated their dedication to advancing the field of AI through collaborative efforts by releasing all their models to the research community. This is notably in contrast to OpenAI GPT-3 or GPT-4
LLama 2
Llama 2 is designed to enable developers and organizations to build generative AI-powered tools and experiences.
Llama 2 models are trained on two trillion tokens and have double the context length of Llama 1. Llama-2-chat models have additionally been trained on over one million new human annotations, the firm said.
Additionally, the context length of Llama 2 has been doubled, enabling the model to consider a more extensive context when generating responses, leading to improved output quality and accuracy.
Llama 2-Chat is a special version of Llama 2 that’s been adjusted to work better for chat-related uses.
It’s been fine-tuned, or tweaked, to perform well and give more relevant answers during conversations.
Llama 2 was pre-trained using openly accessible online data sources. For the fine-tuned version, Llama 2-Chat, leveraged publicly available instruction datasets and used more than 1 million human annotations.
Where can Llama 2 be accessed?
Llama 2 is available in the Azure AI model catalogue. Allowing developers using Microsoft Azure to build with it and leverage their cloud-native tools for filtering content and making sure it’s safe.
It’s also set up to work smoothly on Windows computers. This helps developers create AI features more easily for customers on different platforms.
Llama 2 is available through Amazon Web Services (AWS), Hugging Face, and other providers too.
How is Llama 2 different from ChatGPT and Bard?
Llama 2 is free for research and commercial use. Neither ChatGPT nor similar offerings from Microsoft or Google are open source.
“Llama 2 does better than other open-source language models on many external benchmarks, including reasoning, coding, proficiency, and knowledge tests,’ the firm says.
The first Llama was already competitive with models that power OpenAI’s ChatGPT and Google’s Bard chatbot, while the new Llama has been pre-trained on 40 per cent more data than its predecessor, with more than one million annotations by humans to fine-tune the quality of its outputs, Zuckerberg said.
Meta has been more open than some big tech companies about sharing how it builds AI systems. They show the data and code they use. They say this helps outside researchers identify and mitigate the bias and toxicity that AI systems pick up by ingesting how real people write and communicate.
Zuckerberg said in a Facebook post on Tuesday, “Open source boosts creativity as it lets lots more developers use new technology. It also makes things safer and more secure because when software is open, more people can check it and fix any problems. I think being more open would speed up progress, and that’s why we’re making Llama 2 open source.”
Llama Impact Challenge
Meta said in its blog that it wants to inspire a group of creative people who hope to use Llama to solve tough problems.“We are launching a challenge to encourage a diverse set of public, non-profit, and for-profit entities to use Llama 2 to address environmental, education and other important challenges. The challenge rules will be available before the start of it.”
Conclusion
The introduction of Llama 2 represents a significant milestone. As an open-source large language model, Llama 2 offers boundless opportunities for research and commercial use, fueling innovation across various domains.
reference :
https://arxiv.org/abs/2302.13971 https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/ https://encord.com/blog/llama2-explained/
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