What is Lama Artificial Intelligence and why is it important?

Lama’s artificial ielligence 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 pare company, Open Open and its product Chat GPT, as well as Google’s artificial ielligence.

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

What is Lama Artificial Ielligence?

As meioned, Lama is a family of LLMs like GPT of Google’s Open and Jina. Simply put, Lama is an artificial ielligence like other artificial ielligence, but to understand the difference with others we need to go a little deeper io the concept of artificial ielligence 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 fundameally developed and operated in the same way; They use the same transformer architecture and developme ideas such as pre -training and accurate information adjustme. 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 differe weights to all differe parameters as well as adding a small number of random variables, it can produce very human responses.

Currely, version 4.3 Lama is available for some models and version 4.3 for other models, although the numbering system is not importa 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 ierfaces. 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 ideify 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 mohs 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 assista, the AI ​​Meta assista, built on Facebook, Messenger, Instagram and WhatsApp, uses Lama 2. For most questions, this assista uses the LLAMA 3.2 90B-Vision. But if you wa to use Lama’s artificial ielligence for more challenging inputs, you should go to the Meta Web version.

Lama Artificial Ielligence Site

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

Instead, if you wa 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 couries where the Meta AI is launched.

Download Lama Artificial Ielligence

If you wa to use a lama on your laptop without the need for the Iernet, you can install it on your device. You need to go through a few steps to download the Lama Artificial Ielligence. 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 wa to use the LLAMA 2 language model, you should download and upload it. The installation process of Lama Artificial Ielligence 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” constaly 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 significaly more efficie.

Of course, training an AI model on the Iernet is also risks and puts the way to teach topics such as racism and other horrible coe, 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 differe 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 fundameal new language model.

Meta has also developed the Lama Guard, Prapsy Guard, and Lama Code Shield, three models designed to preve the implemeation 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 wa 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 preseing 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 independe 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 differe models in differe benchmarks (such as multicolor language understanding and Arc-Challenge (Arc-Challenge) with a number of open and proprietary equivale 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.

Ierestingly, 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 curre advanced models (except Openai O1) and performs well in human assessmes 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 experimes, the Lama models have consistely 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 ielligence importa?

Most of the LLMs you’ve heard of, O1 and Gpt-4O from Open, Google Jina, Aropic Clodes are all dedicated to access to users on the Iernet. 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 ielligence

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 coinuing to the Open Source system in Lama, Meta significaly makes it easier for other companies to develop more corol 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 mohly need to apply for a special license, so companies such as Apple, Google and Amazon have to develop their LLM models.

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 maiain Lama:

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

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

Source: Zapier

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

RCO NEWS