I rate the overall product an eight out of ten. You should start by researching and experimenting with Azure OpenAI. You can create a simple chatbot or a computer vision model that identifies objects in images. This will help you understand how it works and develop use cases based on your requirements. I would also suggest testing those use cases. In India, I'm seeing that customers across various industries, whether manufacturing, BFSI, or healthcare, are all starting to use AI in some form. Each customer develops solutions for cross-selling and processing products based on specific use cases. They design user stories for their customers, create offers to grab attention, integrate interactive chatbots into their applications or websites, and develop AI-based visitor and document management systems. Everyone wants to use AI differently, but no two use cases are the same.
Senior management assistance for Christian Roy at a tech services company with 1-10 employees
Real User
Top 20
2024-05-01T15:21:00Z
May 1, 2024
I've always modified Azure to create interactive solutions. But it depends on the kind of application you want. I can recommend it for standard documentation, but not for developing innovative solutions. My requirements are more advanced. Overall, I would rate it a seven out of ten.
Analyst Developer at a government with 1,001-5,000 employees
Real User
Top 20
2024-03-08T23:10:43Z
Mar 8, 2024
There are some limitations right now. For our specific use case, where we need a traditional information retrieval system, it's not an ideal fit. Azure OpenAI is a question-answering system built on top of information retrieval, and that distinction is important for us. Given our use case, I don't think it's well-suited. Our management team requires accurate and complete results, with precision that matches our existing keyword search tools. It's difficult to evaluate and prove that Azure OpenAI consistently meets that standard. We're still early in our adoption, so the rating could change as we deploy it to a larger audience. For now, I would rate the solution a five out of ten.
You can definitely use Azure OpenAI, but you need to study the solution and the use cases you need the solution to meet. In Azure OpenAI, you have many services like ChatGPT and Document Intelligence. If you know what kind of services you need from Azure OpenAI, things will be easier. Otherwise, you need to study a little bit. The solution's language model customization improved the applications of the end users. Azure OpenAI integrated with our existing cloud infrastructure. Overall, I rate the solution a nine out of ten.
Here's my advice: * First, identify the specific use case you want to address. Not all use cases are suitable for OpenAI. * Second, if you're using cloud services, explore techniques to save tokens and optimize costs. There are ways to achieve the desired output while minimizing token usage. Compared to other language models, OpenAI offers richer and more articulate responses. However, remember to control costs and target specific use cases to avoid unnecessary charges. These are the key points to consider. Overall, I would rate the solution a nine out of ten.
With Azure OpenAI, there are a number of alignments that my business is into. My company works with Azure OpenAI and our own private LLMs. Though Azure OpenAI is not optimized, it is one of the best when it comes to text generation. Azure OpenAI is regarded as a foundation model on which our company plans to use our private LLMs. The natural language understanding capability of Azure OpenAI has improved our company's data analysis since we use the product's integration capabilities for areas like translations and conversational AI. I recommend the solution to those who plan to use it, but there are also other products that are available on the market. I rate the overall tool a nine out of ten.
My advice is to pay close attention to the content's quality before indexing it within OpenAI. If the documents provided lack good quality, they'll end up with incorrect answers. This is particularly important because the initial setup is not inexpensive and it involves significant investments. Overall, I would rate it nine out of ten.
I want Azure OpenAI since it is the best solution related to language processing. The only suggestion I can provide to those who plan to use Azure OpenAI is to consider providing the tool with clear prompts. Azure OpenAI is one of the best tools and easy to use. Sometimes, when I try some prompts, Azure OpenAI fails to understand them. Overall, Azure OpenAI is a really helpful tool. I rate the overall solution a nine out of ten.
It is a useful solution that offers a variety of purposes. Developers can benefit from improvements in the system that would align with current technologies. Different departments, such as marketing, accounting, and finance can already use Azure OpenAI as a helpful assistant. I would rate it nine out of ten.
The Azure OpenAI service provides REST API access to OpenAI's powerful language models including the GPT-3, Codex and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio.
I rate the overall product an eight out of ten. You should start by researching and experimenting with Azure OpenAI. You can create a simple chatbot or a computer vision model that identifies objects in images. This will help you understand how it works and develop use cases based on your requirements. I would also suggest testing those use cases. In India, I'm seeing that customers across various industries, whether manufacturing, BFSI, or healthcare, are all starting to use AI in some form. Each customer develops solutions for cross-selling and processing products based on specific use cases. They design user stories for their customers, create offers to grab attention, integrate interactive chatbots into their applications or websites, and develop AI-based visitor and document management systems. Everyone wants to use AI differently, but no two use cases are the same.
I've always modified Azure to create interactive solutions. But it depends on the kind of application you want. I can recommend it for standard documentation, but not for developing innovative solutions. My requirements are more advanced. Overall, I would rate it a seven out of ten.
The product is easy to integrate with our IT workflow. I recommend it to others and rate it a seven out of ten.
Azure OpenAI provides me with a lot of benefits. It's quick and saves me time. Overall, I rate the solution an eight out of ten.
There are some limitations right now. For our specific use case, where we need a traditional information retrieval system, it's not an ideal fit. Azure OpenAI is a question-answering system built on top of information retrieval, and that distinction is important for us. Given our use case, I don't think it's well-suited. Our management team requires accurate and complete results, with precision that matches our existing keyword search tools. It's difficult to evaluate and prove that Azure OpenAI consistently meets that standard. We're still early in our adoption, so the rating could change as we deploy it to a larger audience. For now, I would rate the solution a five out of ten.
You can definitely use Azure OpenAI, but you need to study the solution and the use cases you need the solution to meet. In Azure OpenAI, you have many services like ChatGPT and Document Intelligence. If you know what kind of services you need from Azure OpenAI, things will be easier. Otherwise, you need to study a little bit. The solution's language model customization improved the applications of the end users. Azure OpenAI integrated with our existing cloud infrastructure. Overall, I rate the solution a nine out of ten.
Here's my advice: * First, identify the specific use case you want to address. Not all use cases are suitable for OpenAI. * Second, if you're using cloud services, explore techniques to save tokens and optimize costs. There are ways to achieve the desired output while minimizing token usage. Compared to other language models, OpenAI offers richer and more articulate responses. However, remember to control costs and target specific use cases to avoid unnecessary charges. These are the key points to consider. Overall, I would rate the solution a nine out of ten.
With Azure OpenAI, there are a number of alignments that my business is into. My company works with Azure OpenAI and our own private LLMs. Though Azure OpenAI is not optimized, it is one of the best when it comes to text generation. Azure OpenAI is regarded as a foundation model on which our company plans to use our private LLMs. The natural language understanding capability of Azure OpenAI has improved our company's data analysis since we use the product's integration capabilities for areas like translations and conversational AI. I recommend the solution to those who plan to use it, but there are also other products that are available on the market. I rate the overall tool a nine out of ten.
Overall, I would rate the scalability a seven out of ten because of issues with scalability.
We are a Microsoft Gold partner. We get access to all the latest technologies. Overall, I rate the product a nine out of ten.
My advice is to pay close attention to the content's quality before indexing it within OpenAI. If the documents provided lack good quality, they'll end up with incorrect answers. This is particularly important because the initial setup is not inexpensive and it involves significant investments. Overall, I would rate it nine out of ten.
I would suggest you should give it a try. Overall, I would rate the solution an eight out of ten.
I want Azure OpenAI since it is the best solution related to language processing. The only suggestion I can provide to those who plan to use Azure OpenAI is to consider providing the tool with clear prompts. Azure OpenAI is one of the best tools and easy to use. Sometimes, when I try some prompts, Azure OpenAI fails to understand them. Overall, Azure OpenAI is a really helpful tool. I rate the overall solution a nine out of ten.
It is a useful solution that offers a variety of purposes. Developers can benefit from improvements in the system that would align with current technologies. Different departments, such as marketing, accounting, and finance can already use Azure OpenAI as a helpful assistant. I would rate it nine out of ten.