We performed a comparison between Azure OpenAI and OpenVINO based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms."The high precision of information extraction is the most valuable feature."
"The most valuable feature of Azure OpenAI stems from the GPT-3.5 models it provides to its users."
"We can use the solution to implement our tasks and models quickly."
"You just have to write accurate prompts according to your requirements, and the solution gives very good results."
"Our clients are interested in building knowledge bases, particularly in child welfare. In this domain, we focus on supporting caseworkers by compiling and organizing relevant information. This information is then stored in a database using a query. The database generates summaries and reminders for specific actions and even facilitates sending emails to parents or other relevant parties. The system's complexity is tailored to the specific needs of child welfare cases. Additionally, we're exploring opportunities to assist a healthcare organization. Specifically, we're working on streamlining the process of filling out forms required for insurance claims. This effort aims to ensure that hospitals can receive funding or payment for the care they provide."
"OpenAI's models are more mature than Watson's. They offer a wider range of features and provide richer outputs."
"Generative AI or GenAI seems to be the best part of the solution."
"We have many use cases for the solution, such as digitalizing records, a chatbot looking at records, and being able to use generative AI on them."
"The initial setup is quite simple."
"The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models."
"The inferencing and processing capabilities are quite beneficial for our requirements."
"Azure OpenAI should use more specific sources like academic articles because sometimes the source can't be found."
"The product must improve its dashboards."
"The fine-tuning of models with the use of Azure OpenAI is an area with certain shortcomings currently, and it can be considered for improvement in the future."
"There is room for improvement in their support services."
"We encountered challenges related to question understanding."
"Since we don't train the model on our data, it's a struggle to ensure OpenAI answers questions exclusively from our data. During user testing, we found ways to make the system provide answers from outside sources."
"The solution needs to accommodate smaller companies."
"The solution's response is a bit slow sometimes."
"The model optimization is a little bit slow — it could be improved."
"It has some disadvantages because when you're working with very complex models, neural networks if OpenVINO cannot convert them automatically and you have to do a custom layer and later add it to the model. It is difficult."
"At this point, the product could probably just use a greater integration with more machine learning model tools."
Earn 20 points
Azure OpenAI is ranked 2nd in AI Development Platforms with 22 reviews while OpenVINO is ranked 11th in AI Development Platforms. Azure OpenAI is rated 8.0, while OpenVINO is rated 8.6. The top reviewer of Azure OpenAI writes "Created a chatbot powered by OpenAI to answer HR, travel, and expense-related questions". On the other hand, the top reviewer of OpenVINO writes "A free toolkit providing improved neural network performance". Azure OpenAI is most compared with Google Vertex AI, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Hugging Face and Wit.ai, whereas OpenVINO is most compared with TensorFlow, PyTorch, Google Cloud AI Platform, Google Vertex AI and Microsoft Azure Machine Learning Studio.
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