What is Lama Artificial Intelligence and why is it important?

Lama’s artificial intelligence is a member of a family of large language models (LLM: Large Language Model) and Large Multi -Model Models from Meta Company. Lama is basically a response with Meta’s reaction, Facebook’s parent company, Open Open and its product Chat GPT, as well as Google’s artificial intelligence.

But the Lama Artificial Intelligence program has a key difference with other artificial intelligence, and all the Lama models can be used in the form of a free artificial intelligence for almost anyone; Whether for people who use it in research or for people who have commercial purposes. This has become very important to many and has made the different Lama models very popular among AI developers. Now let’s see what Lama’s artificial intelligence is.

What is Lama Artificial Intelligence?

As mentioned, Lama is a family of LLMs like GPT of Google’s Open and Jina. Simply put, Lama is an artificial intelligence like other artificial intelligence, but to understand the difference with others we need to go a little deeper into the concept of artificial intelligence and the models that Lama uses.

While there are some technical differences between Lama and other LLMs and LMMs, all of these AI models are fundamentally developed and operated in the same way; They use the same transformer architecture and development ideas such as pre -training and accurate information adjustment. Let’s make the problem clearer with an example.

When you offer an input text to the text lame model, this model tries to predict the next most likely text using its neural network system; The neural network is actually an algorithm that works with billions of variables or “parameters” based on the human brain. Therefore, using this algorithm and assigning different weights to all different parameters as well as adding a small number of random variables, it can produce very human responses.

Currently, version 4.3 Lama is available for some models and version 4.3 for other models, although the numbering system is not important and ultimately all the models used are part of the Lama 2. But what is Llama 3?

What is Llama 3?

Before we explain what Llama 3 is, let’s review the types of versions provided together. In July, Meta released six Lama 4.1 models:

• LLAMA 3.1 8B
• LLAMA 3.1 8B-Instruct
• LLAMA 3.1 70B
• LLAMA 3.1 70B-Instruct
• LLAMA 3.1 405B
• LLAMA 3.1 405B-Instruct

And in September, he released eight Lama models:

• Llama 3.2 1b
• LLAMA 3.2 1b-Instruct
• Llama 3.2 3b
• LLAMA 3.2 3B-Instruct
• LLAMA 3.2 11B-Vision
• LLAMA 3.2 11B-Vision-Instruct
• LLAMA 3.2 90B-Vision
• LLAMA 3.2 90B-Vision-Instruct

The LLAMA 3.2 1B and LLAMA 3.2 3B models are designed for use on their devices and interfaces. This means that they are small and compact enough to run directly on modern smartphones and laptops and you do not need to move the data from your device to a cloud. These models can accelerate the processing and protect the privacy of users because of the needless Claud.

The LLAMA 3.1 8B and LLAMA 3.2 11B-Vision models also have the same text production capabilities in the previous models, but the LLAMA 3.2 11B-Vision also has the ability to Visual Reasoning; This type of reasoning, Lama in this version, can identify images, extract information within them, including information within charts and graphs, read human manuscripts, and work with visual data in general.

In the case of LLAMA 3.1 70B and LLAMA 3.2 90B-Vision there are similar status; Meta has designed them so that programmers can directly replace the Lama 4.3 models with Lama 4.3 models to add visual capabilities to their applications, without the need for manual change.

A few months ago, it was said that the advanced LLAMA 3.1 405B model has 2 billion parameters. This model is one of the most powerful open LLMs available while the meta has not yet added visual capabilities.

How to try Lama?

One way you can try Lama is by the Meta AI assistant, the AI ​​Meta assistant, built on Facebook, Messenger, Instagram and WhatsApp, uses Lama 2. For most questions, this assistant uses the LLAMA 3.2 90B-Vision. But if you want to use Lama’s artificial intelligence for more challenging inputs, you should go to the Meta Web version.

Lama Artificial Intelligence Site

To use the web version of the Lama you need to go to the Lama Artificial Intelligence site at meta.ai. But if you can’t get into one of the few countries in which Meta has launched meta artificial intelligence, you can’t get into it.

Instead, if you want to use LLAMA 3.1 70B-Instruct and LLAMA 3.2 11B-Vision, you can use HuggingChat, Chats AI Huggingspace. Another way is to change your IP to the IP countries where the Meta AI is launched.

Download Lama Artificial Intelligence

If you want to use a lama on your laptop without the need for the Internet, you can install it on your device. You need to go through a few steps to download the Lama Artificial Intelligence. You should first download and install LLAMA 2 Web Gui. After installation you can access the LLAMA 2 Web Gui and run it through your browser. If you want to use the LLAMA 2 language model, you should download and upload it. The installation process of Lama Artificial Intelligence varies depending on your operating system, which is Windows, Linux or Mac.

How does Llama 3 work and what is the difference with Llama 2?

The LLAMA 3 models are trained to create their neural network with more than 5 trillion token, which is seven times larger than the data used to train LLAMA 2. Some data from public sources such as Common Crawl (archived of billions of web pages), Wikipedia and public books from the Gutenberg project, while others were “artificial data” produced by previous AI models. (None of them are meta users data.)

Each token is a word or part that allows the model to allocate the meaning of the text and probably predict the next text. For example, if the words “apple” and “iPhone” constantly appear together, this model can understand that these two concepts are related and distinct from “apples”, “bananas” and “fruit”. According to Meta, the Llama 3 token maker has a larger vocabulary than the Llama 2, so it is significantly more efficient.

Of course, training an AI model on the Internet is also risks and puts the way to teach topics such as racism and other horrible content, so developers also from other educational strategies, including human feedback on human feedback (RLHF). , They have been used to optimize the model for safe and useful responses. With RLHF, human testers rank different AI answers to direct it to the production of more appropriate outputs. Instruct versions have also been set with specific data to improve them in response to human instructions naturally.

New features of LLAMA 3

To add visual capability to its new models, Meta has trained the video system separately to match existing language models. This means that the LLAMA 3.2 11B-Vision and LLAMA 3.2 90B-Vision models are similar to existing LLAMA 3.1 8B and LLAMA 3.1 70B, but can also accept video inputs. This is a smart system because anyone who has previously used Lama in their program no longer needs to use a fundamental new language model.

Meta has also developed the Lama Guard, Prapsy Guard, and Lama Code Shield, three models designed to prevent the implementation of harmful crops or producing insecure computer code by Lama models. But all of these Lama models are designed only as a basis for developers. If you want to create an LLM to produce a summary of your company’s brand -style articles or sound, you can teach Lama models with dozens, hundreds or even thousands and create an example for yourself to do it exactly.

Similarly, you can configure one of the Instruct models to answer your customer support requests by presenting common questions and other related information such as chat reports. You can also get any Lama model and re -teach it to create a completely independent LLM. Meta is increasingly creating tools to facilitate this. Alongside the Lama 4.3 models, Meta has unveiled Lama Stack, which is a set of tools and APIs to make the AI ​​program easier to develop with Lama.

Comparison of Lama with GPT, Jamina and other AI models

In Lama Research Article, Meta researchers compare the performance of different models in different benchmarks (such as multicolor language understanding and Arc-Challenge (Arc-Challenge) with a number of open and proprietary equivalent models. It is compared to the GPT-3.5-TURBO and Mixtral 8x22B The smaller Lama has the best functions, however, the Lama models compete with similar models; that is, the 4B model can never defeat a 5 billion parameter, but its performance is comparable to other small models.

Interestingly, the 4B model is compared to the Gpt-4, Gpt-4O and Claud 3.5 Sonnet. While this model does not perform the best, it is competing with current advanced models (except Openai O1) and performs well in human assessments and has made it “the world’s largest and most capable open foundation model”. He says, which seems to be a fair evaluation.

There is a similar situation for Lama 4.3 models. The 4B and 4B style models are well compared to the Gemma 2B and Phi-3.5 mini models, while the 2B and 4B models that are visual, similar to the Claude 3 HAKU and GPT-4O mini.

In various websites experiments, the Lama models have consistently taken a big step forward compared to the Lama. While the Meta AI is not yet replaced by ChatGpt for many, its main models are the best in the world and are definitely one of the best models you can download from Hugging Face right now.

Why is Lama’s artificial intelligence important?

Most of the LLMs you’ve heard of, O1 and Gpt-4O from Open, Google Jina, Antropic Clodes are all dedicated to access to users on the Internet. Researchers and business activists can use formal APIs to access them and even adjust the set versions of their models to give custom answers, but they really can’t understand what is going on.

But with Lama, you can download the model right now and run it on your computer as long as you have the technical skills. (Of course you should know that even small LLMs are measured to Gigabyte, and consider this about the system features you have on it. Large research has published that details of how the LLAMA 3 HERD is fully taught, architecture used, how to compare it with other models, meta steps to secure them and details He explains another attractive.

The future of artificial intelligence

You can run Lama on Microsoft Azure, Google Cloud, Amazon Web Services and other cloud infrastructure so you can launch your program that uses LLM or train it on your data to provide the type of text you need. Produce for you. However, by continuing to the Open Source system in Lama, Meta significantly makes it easier for other companies to develop more control over them, provided they adhere to acceptable usage policy.

The only major restrictions are the licenses that Lama offers. Companies with over 5 million users monthly need to apply for a special license, so companies such as Apple, Google and Amazon have to develop their LLM models.

Mark Zuckerberg and Lama Robot made with Midjarni

Mark Zuckerberg and the future of Lama

In a letter with the release of Lama 4.1, Mark Zuckerberg, CEO Meta, has been extremely clear about meta programs to maintain Lama:

“I believe that the use of open source or open source is essential for the future of AI. AI has more potential than any other modern technology to enhance productivity, creativity and quality of human life, and can also be used to accelerate economic growth and consequently progress in medical and scientific research. An open source artificial intelligence enables more people around the world to take advantage of the benefits and opportunities that artificial intelligence provides, and power is not concentrated in the hands of a few companies. “The technology can also be used uniformly and safely throughout the community.”

Many of the great improvements in calculations over the past five years have been based on open source research and tests, and now it seems that artificial intelligence is one of them. While Google, Open -AI and Anthropics appear to always play a key role in this artificial intelligence space, they cannot work with a closed text system forever.

Source: Zapier

What is the writing of artificial intelligence and why is it important? The first time in DigiKala Mag. It appeared.