Azure AI Language Pros and Cons

Ease of use, Supporting the business, Ease of Implementation,Number of Features Review collected by and hosted on G2.com.

When given input in other languages, the trained models might not function as well. Review collected by and hosted on G2.com.

Integration with Microsoft Azure is easy then other web language api.Easy to use then other web language api work with Microsoft Products. Review collected by and hosted on G2.com.

Working with Microsoft Web Language Model API I complesory to use Microsoft Azure with them.Microsift Azure is more costly for small projects or student for implementing there collage projects. Review collected by and hosted on G2.com.

Usability and documentation of microsoft prohects are amazing and integrating language model was easy and time saving Review collected by and hosted on G2.com.

Customization in project space wasn't easy Review collected by and hosted on G2.com.

Its ease of integration, impressive performance, scalability, language support, and reasonable pricing make it a compelling choice for developers seeking to enhance their applications with advanced language understanding and generation capabilities. Review collected by and hosted on G2.com.

Can be more user friendly and few bugs . Review collected by and hosted on G2.com.

I liked its integration with microsoft azure. Apart for this, it also has a user friendly interface and its cloud based with a secured nature. It has multilingual capabilities. Review collected by and hosted on G2.com.

There are some cost concerns, which can cause difficulties for students who may be using it for their small projects. It do requires license. Review collected by and hosted on G2.com.

Question Answering excels at interpreting natural language queries, providing users with relevant answers and enhancing overall user experience. Review collected by and hosted on G2.com.

There is nothing to dislike about Question Answering. Review collected by and hosted on G2.com.

its , cloud based , no need to save data in local,

its secure and private,

multiligual model, means train in one model and use for other languages as well. Review collected by and hosted on G2.com.

costly , not for students , need corporate licenses tto work on it. Review collected by and hosted on G2.com.

It helps to build natural language understanding for ML models to be used in end-to-end AI conversations. Review collected by and hosted on G2.com.

the logics are defined already so cannot be tweaked as per your requirement Review collected by and hosted on G2.com.

Allows us to create a natural interactive layer and find suitable answer to our inputs. Review collected by and hosted on G2.com.

There is nothing to dislike about question answers. It's all good. Review collected by and hosted on G2.com.

The ease of integration connection, testing & use the APIs with other applications are the biggest pros according to me. The resources available online for troubleshooting & guidance is also helpful. The REST API has used large dataset for training and grouping of words are excellent with the NLP model. Review collected by and hosted on G2.com.

Nothing much from my experience, if you have azure setup already configured Review collected by and hosted on G2.com.