Azure OpenAI Reviews

We are currently exploring the solution's LLM chat and question-and-answer-based endpoints.

The most valuable feature of the solution is the accuracy of ChatGPT. It is something we cannot reproduce with any open-source LLM. Azure OpenAI is easy to use because the endpoints are created, and we just need to pass our parameters and info.

Azure OpenAI will be expensive if you want to implement it as a permanent solution for a customer. I have explored Azure OpenAI from a purely LLM perspective. Its endpoints are currently enough for us to communicate with their ChatGPT instance and get results. I don't know if Azure has anything implemented for images, videos, and other endpoints.

We have been exploring ChatGPT 3.5 and 4 versions for one and a half years.

Around 20 to 50 users were using Azure OpenAI for one of our projects.

Whenever we encounter issues, we try to raise them on the portal, and we get a resolution from there.

Microsoft takes care of the deployment. We just get our instance, and we have to communicate with it.

If you consider the long-term aspect of any project, Azure OpenAI is a costly solution. However, the solution is cheap if you just want to see results or try some POC in the initial stages. This is because you don't need to spin up your instance; you can just consume things and see the results.

Azure OpenAI is a straightforward solution. After configuring it, you will get your endpoints. You then need to call the endpoints and pass the details. Azure OpenAI is a straightforward tool that is implemented in such a way that even a fresher or junior developer can learn to use it easily.

Overall, I rate the solution an eight out of ten.

I use Azure OpenAI to create message dashboards for my company.

The most valuable feature of Azure OpenAI stems from the GPT-3.5 models it provides to its users. The information that I provide is based on the information I found through research. I have not started to use the solution for the development part.

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. It would be great if Azure OpenAI could increase the limit of the knowledge of its chatbot. If I have datasets for fine-tuning, the chatbot can only answer the user's queries related to training data, meaning the chatbot would not provide any knowledge to its users from the outside world.

I have been using Azure OpenAI for maybe a month.

I work in a company involved in some business related to messaging, where I did not have a reason to think about scalability options provided by the solution.

I have not contacted the solution's technical support yet since I am still involved in some research related to the product.

I have experience with LangChain. LangChain uses OpenAI.

The documentation provided by Azure OpenAI is clear enough. Based on my research, I think the product's initial setup phase would be easy.

The solution is deployed on the cloud services from Azure.

Though in my company, we are in the process related to the deployment of Azure OpenAI, it has not been deployed yet.

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.

The most valuable feature is the ALM. It can execute clarifications against security. 

The dialogue manager needs to be improved. 

I have been using Azure OpenAI for six months. 

It is a scalable solution. 

I would rate the overall solution a seven out of ten. 

When I write documentation, I use the solution for translating anything and researching.

Azure OpenAI is useful for benchmarking products. We can search for all metrics with AI tools and compare our products with other products.

The solution’s stability could be improved. Azure OpenAI should use more specific sources like academic articles because I can't find the source.

I have been using Azure OpenAI for more than a year.

I rate the solution a nine out of ten for stability.

I rate the solution’s scalability a seven out of ten.

The solution’s initial setup is very easy.

I can deploy the solution by myself in a few seconds.

We pay a licensing fee for Azure OpenAI. The solution's pricing is normal worldwide but expensive in Turkey because Turkey's currency is different.

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.

We utilize the product for various applications that handle unstructured or semi-structured data, such as question-and-answer systems, chatbots, and text-generation tasks.

The platform's most valuable features are its data generation capabilities and ability to retrieve information from large volumes of data. These features enable efficient processing and retrieval of relevant information.

While the product is closely linked with several other products offered by Microsoft Azure, especially when building generic AI solutions, some aspects could still be enhanced. One area for improvement is providing more flexibility in configuration and connectivity with external tools.

We have been using Azure OpenAI for 5 months.

I rate the platform's stability an eight.

The product is highly scalable. It is expensive and suitable for medium enterprises. Once all the components are configured, we can easily accommodate different requirements. 

I have had limited interaction with the technical support team but heard of delays in response, likely due to various factors.

Neutral

I have previously considered using a different solution before exploring Azure OpenAI. While I haven't utilized ChatGPT extensively, I find OpenAI, particularly in ChatGPT, quite effective. Additionally, many customers prefer the Microsoft platform due to its inherent trust and seamless integration with other Azure services. This trust factor and integration capability make it easier for customers to build solutions that connect various components within the Azure ecosystem, which is perceived as a superior feature.

The initial setup for Azure OpenAI can be complex, as various roles and access-related settings must be configured. This process can be time-consuming, especially for users unfamiliar with the Azure platform.

The platform offers a flexible pricing model which depends on the features and capabilities we utilize.

The product is easy to integrate with our IT workflow. I recommend it to others and rate it a seven out of ten.

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. 

Our customers are worried about data management, ethical, and security issues. 

I have been working with the solution for the last six months. 

The tool is stable. 

Azure OpenAI is scalable. 

The tool's deployment can take weeks to complete. 

I rate Azure OpenAI an eight out of ten. Don't focus on the technology, but on the problem you try to solve.