# Adding New Large Language Models

1. [**Azure Foundry**:](https://docs.aicrisk.com/getting-started/adding-new-large-language-models/azure-foundry) Microsoft’s end-to-end platform for building, customizing, and deploying AI applications on Azure. It brings together foundation models, data integration, and AI development tools in a single, secure environment. Teams can evaluate models, ground them in their own data, and deploy AI systems with built-in safety and governance. Azure AI Foundry is designed to help organizations move AI from prototype to production with confidence..
2. [**OpenAI**](https://docs.aicrisk.com/getting-started/adding-new-large-language-models/openai): An independent research organization.  OpenAI aims to ensure that artificial general intelligence benefits all of humanity. It develops and applies a suite of AI technologies, and its models have wide-ranging uses, from drafting emails or pieces of writing, to coding assistance, to answering questions.
3. [**Mistral AI**](https://docs.aicrisk.com/getting-started/adding-new-large-language-models/mistral): A powerful and fast model adaptable to many use-cases. While being 6x faster, it matches or outperform Llama 2 70B on all benchmarks, speaks many languages, has natural coding abilities. It handles 32k sequence length. You can use it through our API
4. LLama:  (Large Language Model Meta AI, formerly stylized as LLaMA) is a family of autoregressive large language models (LLMs) released by Meta AI starting in February 2023. The latest version is Llama 3.3, released in December 2024.
5. Amazon Bedrock:  Using Amazon Bedrock, you can easily experiment with and evaluate top foundation models for your use cases, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources.
6. Google AI: