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@@ -33,7 +33,7 @@ You can find more details about individual models by reviewing their model cards
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:::image type="content" source="../media/models-featured/models-catalog.gif" alt-text="An animation showing Azure AI studio model catalog section and the models available." lightbox="../media/models-featured/models-catalog.gif":::
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###AI21 Labs
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## AI21 Labs
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The Jamba family models are AI21's production-grade Mamba-based large language model (LLM) which uses AI21's hybrid Mamba-Transformer architecture. It's an instruction-tuned version of AI21's hybrid structured state space model (SSM) transformer Jamba model. The Jamba family models are built for reliable commercial use with respect to quality and performance.
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See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=ai21).
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###Azure OpenAI
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## Azure OpenAI
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Azure OpenAI Service offers a diverse set of models with different capabilities and price points. These models include:
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See the [Cohere model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=cohere).
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###Core42
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## Core42
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Core42 includes autoregressive bi-lingual LLMs for Arabic & English with state-of-the-art capabilities in Arabic.
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See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=core42).
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###DeepSeek
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## DeepSeek
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DeepSeek family of models includes DeepSeek-R1, which excels at reasoning tasks using a step-by-step training process, such as language, scientific reasoning, and coding tasks, and DeepSeek-V3, a Mixture-of-Experts (MoE) language model.
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See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=deepseek).
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###Meta
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## Meta
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Meta Llama models and tools are a collection of pretrained and fine-tuned generative AI text and image reasoning models. Meta models range is scale to include:
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See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=meta).
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###Microsoft
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## Microsoft
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Phi is a family of lightweight, state-of-the-art open models. These models were trained with Phi-3 datasets. The datasets include both synthetic data and the filtered, publicly available websites data, with a focus on high quality and reasoning-dense properties. The models underwent a rigorous enhancement process, incorporating both supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures.
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See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=phi).
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###Mistral AI
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## Mistral AI
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Mistral AI offers two categories of models: premium models including Mistral Large and Mistral Small and open models including Mistral Nemo.
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See the [Nixtla model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=nixtla).
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###NTT Data
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## NTT Data
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**Tsuzumi** is an autoregressive language optimized transformer. The tuned versions use supervised fine-tuning (SFT). Tsuzumi is handles both Japanese and English language with high efficiency.
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