In a recent move, Microsoft's Azure ai platform has expanded its range by introducing two advanced ai models, Llama 2 and GPT-4 Turbo with Vision. This addition marks a significant expansion in the platform's artificial intelligence capabilities.
ai–ai-platform-blog/continuing-to-advance-state-of-the-art-model-and-tooling-support/ba-p/4008407″ target=”_blank” rel=”noreferrer noopener”>The Microsoft Azure ai team recently announced the arrival of Llama 2, a set of models developed by Meta, to the Azure ai as a Service (MaaS) model. These include different versions such as Llama-2-7b and Llama-2-13b, specialized in tasks such as generating text and completing conversations. Additionally, these models can now be accessed through simplified API endpoints, making them easier for businesses to use without the complexities of managing execution instances in the cloud.
At the same time, Microsoft introduced OpenAI GPT-4 Turbo with Vision, an innovative multimodal model that combines language understanding and image analysis. This integration allows the model to analyze images and provide text-based responses to queries, significantly improving its capabilities. GPT-4 with Vision is now available for public testing on platforms such as Azure OpenAI Service and Azure ai Studio, offering features such as video prompts, object identification in images using text descriptions, and enhanced optical character recognition (OCR).
Recognizing the need for diverse ai sources, especially after recent developments in OpenAI, Microsoft reiterated its commitment to expanding its ai offerings while ensuring safe and responsible governance of ai in the Microsoft cloud. The team emphasized expanding tuning capabilities for various models, allowing developers and data scientists to customize models such as GPT-35-Turbo, Babbage-002, and Davinci-002 to meet specific needs.
The Azure ai model catalog has also been enriched with six new models, including Microsoft's small language models, Phi-2 and Orca 2, each equipped with billions of parameters. These are accompanied by DeciLM, DeciDiffusion, DeciCoder and Mistral 7B Mixtral 8x7b, which meet various requirements in text generation, text-to-image translation, program completion and more.
Azure ai Studio now provides benchmark data in the model benchmarks section to help business users navigate this range of models. This data is a useful resource that helps users make informed decisions when selecting models for specific applications or needs.
The introduction of these models coincides with recent leadership changes within OpenAI, leading Microsoft to emphasize the importance of diversifying sources of ai models to mitigate risks. Despite affirming continued collaboration with OpenAI, this strategic expansion underscores Microsoft's commitment to expanding its ai offerings and ensuring a versatile range of tools and solutions for its users.
In summary, Microsoft's recent improvements to Azure ai, including the addition of Llama 2, GPT-4 Turbo with Vision, expanded tuning capabilities, and the introduction of various models, reflect a concerted effort to strengthen its ai offerings, providing users a complete set of advanced tools and solutions.
Niharika is a Technical Consulting Intern at Marktechpost. She is a third-year student currently pursuing her B.tech degree at the Indian Institute of technology (IIT), Kharagpur. She is a very enthusiastic person with a keen interest in machine learning, data science and artificial intelligence and an avid reader of the latest developments in these fields.
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