Llama 3: Meta launches new open source AI model

Meta has just launched its new open source artificial intelligence model, called Llama 3. This announcement is of great relevance to anyone interested in open source artificial intelligence and its tools. In this article, you will learn about the improved performance offered by Meta Llama 3 and how it can be used safely and responsibly. You will also learn about the potential ofopen source AI for businesses, as well as the importance of using open source AI tools in a private cloud.

Meta integra Llama 3

Meta AI recently integrated Llama 3, the latest artificial intelligence model, into its intelligent assistance platform. This integration gives users hands-on experience of Llama 3 's capabilities through Meta AI, enabling coding tasks, troubleshooting and more.

With this integration, companies can now leverage the power ofopen source AI to enhance their applications and services to deliver a more efficient and personalized user experience. In addition, the integration of Llama 3 into Meta AI gives companies access to new open source to tools that can be used to improve data security and accountability in the use of artificial intelligence.

With the ability to use Llama 3 in a private cloud, companies can benefit from the improved performance ofopen source artificial intelligence without giving up control over their sensitive data.

Artificial intelligence with better performance

By integrating Llama 3 into Meta AI, companies can now benefit from Artificial Intelligence with vastly improved performance. Llama 3 boasts enhanced performance and scalability, excelling in language nuance, contextual understanding, translation, and dialog generation. This means companies can now effortlessly handle complex multi-step tasks and present refined post-training processes that significantly reduce incorrect rejection rates, improve response alignment, and diversify model responses. This results in a more efficient and personalized user experience, enabling companies to deliver high-level services and applications.

In addition, using Llama 3 in a private cloud allows companies to maintain control over their sensitive data while benefiting from the improved performance of open source artificial intelligence. This represents an important step forward for those who want to take full advantage of the potential ofopen source AI to improve their offerings and remain competitive in the marketplace.

What makes Llama 3 so special?

The integration of Llama 3 into Meta AI offers a wide range of customizable options. You can choose between two models with different parameter capacities: 8B or 70B, depending on your specific needs. Both versions include basic and "instruct" options to perfectly fit your workflow, allowing unprecedented flexibility in model selection.

Additionally, Llama 3's processing capability is remarkable, handling contexts up to 8K tokens, which means it can analyze significant amounts of text efficiently.

These models have undergone rigorous training on an enormous dataset of 15T tokens, with over 10 million human annotations, ensuring superior performance and reliability. Llama 3 has implemented training code that is 8 times more powerful than its predecessor, Llama 2, leveraging exceptional computing power with 48,000 GPUs during the learning process.

The results speak for themselves: the 70B model achieves impressive scores of 79.5 MMLU and 81.7 HumanEval, far surpassing other models like Mixtral 8x22, Gemini Pro 1.5, and Claude Sonnet. Even the 8B model shows excellent performance, with scores of 66.6 MMLU and 62.2 HumanEval, surpassing Mistral 7B and Gemma 7B.

Not only are the models cutting-edge, but they are also continuously updated: the data used for training was updated in March and December 2023, ensuring that the models are always aligned with the latest information and trends in artificial intelligence.

Finally, Llama 3 is accessible to various usage needs: in addition to the commercial license, there is also a community license version for those who want to use it for non-commercial purposes. And this is just the beginning: Meta is already working on an even larger multimodal model, with 400B parameters, belonging to the GPT-4 class.

Data security and accountability

In parallel with the launch of Llama 3, Meta is emphasizing a comprehensive approach to responsible AI development. Updates to the Responsible Use Guide (RUG) accompany the release, enhancing trust and security tools such as Llama Guard 2, Code Shield, and Cybersec Eval 2. These tools ensure the protection of sensitive data and promote the safe and ethical use of Llama 3 and its related technologies.

For example, Llama Guard 2 provides robust encryption to protect data during processing from unauthorized access, while Code Shield automatically identifies and blocks suspicious code to prevent cyber attacks. In addition, Meta recommends careful filtering of inputs and outputs according to individual content guidelines and use cases, ensuring that open source artificial intelligence is used responsibly and in compliance with data privacy regulations.

This commitment to data security and accountability demonstrates Meta's focus on respecting user privacy and protecting corporate data.

Potential of open source AI for businesses

The potential ofopen source AI for businesses is immense, especially with Meta's launch of Llama 3. This new open source AI model, available in 8B and 70B versions, gives companies the capabilities and flexibility to develop new AI-powered solutions.

Whether developing intelligent virtual agents, advanced customer service applications, or sophisticated data analysis tools, Llama 3 provides a solid foundation for innovation. Companies now have the opportunity to take full advantage ofopen source artificial intelligence, implementing solutions tailored to their needs and providing added value to their customers.

With Llama 3, companies can have access to a powerful tool that will enable them to stay abreast of technological evolution and give new impetus to their operations.

AIabality: open source AI in private cloud

Artificial Intelligence represents a breakthrough in the way information is analyzed and used. A private cloud allows business data to be protected from third-party interests and increases the possibilities for customization. In this context, AiAbility plays a key role in providing customized AI solutions in a private cloud environment. This means that companies can use the most advanced open source models in AI and LLM, enabling them to stay one step ahead in digital transformation while maintaining full control of their sensitive data. Each solution is built around companies' specific needs, ensuring seamless integration with their business processes. This combination of security, innovation and customization makes AiAbility an ideal choice for companies that want to make the most of the potential of open sourceArtificial Intelligence in a private cloud environment.