What is Meta's Llama 3: Is That New Open-Source AI Model?

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With all the advancements happening around the world, artificial intelligence contributes to being one of them. AI has taken the world by storm and is already the next big thing to happen. Meta has never been behind in the race of technology and has always come up with competitive things. Similar is the case with the newly launched Llama 3. Llama 3, pre-trained chatbots with 8B and 70B parameter sizes. It has launched 4 LLM models which were based on the architecture of Llama 2 consisting of pre-trained and instruct-tuned versions of each parameter size. Competing with all the rivals of the AI market, Meta has launched the most capable and largest version of AI models. With its approach of being an open-source model, there have been several differentiations with all the other leading AI websites as all the models preferred working as a closed-source model. 

With ChatGPT leading the AI market for the longest time, Meta’s newly launched Llama 3 is no longer in the race of artificial intelligence. From training models with extensive amounts of knowledge and data, it proves to be multimodal. Multimodal means that all the data can be stored in various formats such as text, audio, images, and videos. One of the major advantages of Llama 3 must be the use of a new tokenizer that increases the vocabulary size of the model leading to encoding of text more efficiently and yielding stronger multilingualism. 

What is Meta Llama 3?

Llama 3 was launched by Meta and is an open-sourced LLM model. However, it is quite different from all the other LLM models, but this is the upgraded version of the previously launched Llama 2. A source developed for all the researchers, and businesses, and is responsible for generating successful AI ideas. A pre-trained AI model with 8x more data and knowledge to store.

The two sizes of Llama 3 consist of 8B and 70B parameter sizes. Each size has a pre-trained and instruct-tuned version of it. All these models were trained on 24,000 GPU clusters. The improved capabilities of the models are clear due to more careful clustering of the data and are also quite evident in the answering quality such as reasoning, coding, generative ideas, etc. 

A high-quality and large data set was used to train the best language model. From English to 30 other languages, the model covers all the aspects. However, the model lacks generative ideas of some of the languages but is efficient enough to use. The AI models are getting better and better with time, being the next thing that will control the entire world. Having a goal to make search engines used for answering any prompt asked by the user, the quality of every prompt has been quite well. From high-resolution picture development to animation, you get it the moment you type it. Following are the statistics of Llama 3 compared to the competitors of the artificial intelligence models. 

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How does Llama 3 Work?

Llama 3 is used in all the significant applications of Meta such as Facebook, Instagram, and WhatsApp. It has trained its chatbots with 8x more data sets consisting of over 15 trillion tokens. The data is gathered from all the available sources and then is used to train the chatbots. Each token is assigned to a word and the model identifies its meaning to predict the follow-on text. This makes it a larger source of vocabulary compared to all the other versions of AI. To create a certain summary or article, the model is trained with thousands of such examples just so that it can provide you with the one relevant to your needs. 

Llama 3 vs ChatGPT

ChatGPT has been the largest competitor when it comes to AI models and their training. However, Meta has officially been in the race for artificial intelligence with its newly launched Llama 3. The first thing that differentiates Llama 3 from all the existing competitors is that it is an open-source model while the rest works on a closed-source model. The biggest advantage of open-sourced models is the transparency they offer to their users. Some users might be using other websites but not aware of what is going on behind all the prompts that they are providing the server.

Pros of an Open-Source AI Model

Whenever a new technology is introduced, it comes with some pros and cons. However, when we talk about AI, all of us know how big of a thing it has become in recent times. Llama 3 is not the only open-source model working as there are other competitors in the market, but there are always some qualities to differ. With some major chunks of the technology being dependent on AI, here are some pros of being an open-sourced AI model. 

  • Transparency: One of the things that Llama 3 has to offer is transparency and public trust that they can rely on the technology they're using. With closed-source AI companies, this characteristic usually lacking for the users.
  • Increased Productivity: Open-source AI models allow users to increase their productivity by getting motivated to launch their AI-powered solutions. In this way, there are new opportunities and a valuable response to every prompt for its users. 

Cons of an Open-Source AI Model

Open-source AI companies can be an advantage to many but on the other hand, it comes with potential risks and disadvantages that can be a downfall of this technology. Here are some commonly faced cons of an open-source LLM.

  • Risk of Data and Privacy: Open-source models are usually more prone to data breaches and susceptible to malicious attacks. This can bring risk to user's data and information. 
  • Quality Control: Quality control of AI models is very necessary. With strict oversight on the server, there would be fewer chances of inconsistent answers as they could frustrate the users resulting in bad word of mouth. 


As the article discusses the core features and characteristics of Llama 3 as a new open-source LLM, we have to conclude that it has been the new future of AI. With extensive features and 8x more data trained to the bots, the efficient results are quite evident. Llama 3 being open-source, allows users to play their part in the generation of new AI-powered websites and applications bringing valuable responses to the community. 

Robert Kevin

Robert Kevin

Robert Kevin is a versatile content writer known for captivating storytelling and impactful writing. His well-researched articles and compelling blog posts leave a lasting impression on readers.