Serenity Star now includes the Llama 3.3 model, a cutting-edge technology developed by Meta that takes the capabilities of artificial intelligence agents to a new level. This model is an evolution of the LLaMA (Large Language Model Meta AI) family of models, optimized for text generation and comprehension tasks. In particular, it stands out for its focus on multilingual dialogs and advanced natural language processing capabilities.
What makes Llama 3.3 special?
The Meta Llama 3.3 multilingual large language model (LLM) is a pre-trained, instruction-tuned generative model in 70B (incoming text/outgoing text). The instruction-tuned text-only Llama 3.3 model is optimized for multilingual dialog use cases and outperforms many of the available open source and closed chat models in common industry benchmarks.
🔹 70B optimized parameters: Designed specifically for multilingual dialog tasks.
🔹 Autoregressive transformer architecture: Tuned with SFT and RLHF to ensure alignment with human preferences in usability and safety.
🔹 Advanced multilingual support: Supports English, Spanish, German, French, Italian, Portuguese, Hindi and Thai.
🔹 Grouped Query Attention (GQA): Improves scalability and efficiency of inference in intensive use cases.
How can Llama 3.3 help you?
✔️ Natural and accurate conversations: Perfect for virtual assistants and natural language generation tasks in multiple languages.
✔️ Advanced customization: Supports adaptation to specific tasks, even in languages not initially included, with security and accountability guarantees.
✔️ Synthetic data innovation: Improves data generation and distillation to optimize other models.
Serenity Star now more powerful
With this integration, we improve the user experience in AI agents, offering:
- Faster and more accurate responses in different languages.
- Increased utility in commercial and research applications.
- Safety and compliance, aligning with community acceptable use standards.
Available for developers:
For developers, Llama 3.3 is a powerful tool that makes it easy to create advanced natural language processing (NLP) applications with a multilingual approach. Here are the key points about what it offers:
- Access to an optimized Model:
-
- 70B parameters that provide a high capacity for reasoning, generation and contextualization in different languages.
- Ready for dialog applications, advanced chatbots and virtual assistants in multiple languages.
- Improved multilingualism:
- Native support for eight languages: English, Spanish, German, French, Italian, Portuguese, Hindi and Thai.
- Possibility to adjust the model for other languages using fine-tuning techniques, provided that the guidelines of the community license are respected.
- Customization options:
- It uses SFT (Supervised Fine-Tuning) to adjust the model to specific tasks.
- Implements RLHF (Reinforcement Learning with Human Feedback) to optimize outputs according to user needs.
- Scalability optimization:
- Grouped Query Attention (GQA) enables more efficient inference, reducing processing times even in data-intensive applications.
- Interoperability:
- Developers can integrate Llama 3.3 into existing platforms or adapt it for custom use cases, such as content generation, automatic summaries or customized real-time responses.
Test the capabilities of Llama 3.3 through Serenity Star and start leveraging its potential in your multilingual applications.
Artificial intelligence now speaks your language
With Llama 3.3, Serenity Star continues to lead innovation in generative AI, adapting to your needs and those of your business.
Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish and Thai.
Availability and use of Llama 3.3:
Llama 3.3 is intended for commercial and research use in several languages. The instruction-tuned text-only models are intended for wizard-like speech, while the pre-trained models can be adapted to a wide variety of natural language generation tasks. The Llama 3.3 model also allows you to leverage the results of its models to improve other models, including synthetic data generation and distillation. The Llama 3.3 community license enables these use cases.
- Commercial and Research Use: Permitted for companies and developers under a specific community license.
- Limitations: Not allowed for languages or applications outside those specified without additional settings that comply with regulations.
Limitations and recommendations:
- Non-Supported Languages: If you need to use the model in languages that are not natively supported, additional adjustments will need to be made with responsible supervision.
- Regulatory compliance: Ensure that applications developed with Llama 3.3 comply with local laws and international regulations.
Note: Llama 3.3 has been trained on a wider set of languages than the 8 supported languages. Developers may adjust Llama 3.3 models for languages other than the 8 supported languages as long as they comply with the Llama 3.3 Community License and the Acceptable Use Policy and, in such cases, are responsible for ensuring that any use of Llama 3.3 in additional languages is done in a safe and responsible manner.
Find out more and try out the new features today.
