LLama 2 has just been released by Meta AI, and it’s an open-source large language model!
Let’s get started! Today, we’re diving into the exciting world of LLama 2, the latest offering from Meta AI.
LLama 2 is an open-source large language model that promises to bring us closer to the performance of GPT-4.
In this article, we’ll explore LLama 2, from its specifications and capabilities to its safety features and commercial viability. So, let’s take a thrilling ride into the world of LLama 2!
So, what exactly is LLama 2? Well, it’s a powerful language model developed by Meta AI that’s completely open source for both research and commercial purposes – mostly, that is.
What is LLama 2?
Llama 2 AI is a large language model (LLM) developed by Meta AI (formerly Facebook AI). It is a 65-billion-parameter model that was trained on a massive dataset of text and code.
Llama AI can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way like OpenAI’s ChatGPT.
It is still under development, but it has the potential to be a powerful tool for a variety of applications.
The Specs: Flavors and Sizes
LLama 2 comes in two flavors: the base LLama 2 model and the LLama 2 chat model, which specializes in dialogue.
Each flavor is available in three different sizes: 7 billion, 13 billion, and 70 billion parameters.
However, there’s one more size, the highly anticipated 34 billion parameter model, which wasn’t released due to safety concerns. We’ll get into that in a moment.
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Training and Resources of LLama2
Now, what’s the magic behind training LLama 2? Well, Meta AI used a cluster of Nvidia A100 GPUs – talk about some serious computing power!
They trained it on a much larger dataset than before, and they doubled the context size to 4,000 tokens. Oh, and they also used this cool new technique called “grouped query attention” for faster inference with larger models.
The training data set was expanded to a whopping 40 larger, and the context window was doubled to 4,000 tokens. This allows LLama 2 to process more extended texts with improved performance.
Interestingly, Meta AI addressed carbon emissions in their research paper. Acknowledging the computing power required for training these models and their impact on the environment, they highlighted the importance of efficiency and environmental sustainability in their research.
Microsoft’s Partnership with Meta AI
A surprising twist in the LLama 2 story is Microsoft’s partnership with Meta AI. Despite being an investor in OpenAI, which developed the closed-source language model GPT-3 (chat GPT), Microsoft is actively supporting Meta’s open-source initiative.
They even celebrate the release of LLama 2 to commercial customers. This partnership demonstrates a commitment to open source while protecting their investment in chat GPT.
Commercial Viability and Permissions
Unlike its predecessor LLama 1, LLama 2 is commercially viable. However, there is one caveat—products built on LLama 2 with over 700 million users require Meta AI’s permission to use it.
While this is unlikely to be an issue for most companies, it’s a measure to protect LLama 2 from large-scale competitors.
Safety and Red Teaming of LLama2
Safety is a significant focus in LLama 2’s development. Meta AI dedicated almost half of the white paper to discussing safety guard rails, red teaming, and evaluations.
A notable safety feature is the use of a two-reward model approach, balancing helpfulness and adherence to guidelines.
The 34 billion parameter model, despite being eagerly awaited, was delayed due to safety concerns and a higher violation percentage.
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Coding Ability and Future Potential
While LLama 2 is impressive in many aspects, its coding ability seems to be less robust compared to GPT-4. However, the potential for future fine-tuned versions of LLama 2 is promising, and the open-source community may help bridge this gap.
Testing and Availability
Excited to get your hands on LLama 2?
Good news! You can already download the models, weights, and code from Meta AI’s Hugging Face repository.
Fully hosted versions of the 7 billion and 13 billion models are available as well. The possibilities are endless, and the open-source community can expect numerous fine-tuned versions of LLama 2 to explore.
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Final Words on LLama2
LLama 2 is an advanced AI model, pushing the boundaries of open-source large language models. It brings us closer to the performance of closed-source models like GPT-4 while maintaining a focus on safety and environmental sustainability.
With its commercial viability and open-source nature, LLama 2 is set to make a significant impact in the natural language.